Claude Market
Menu
SkillsMCPPluginsSubmit MCPSkillPluginMCPMCP, plugin, or skillAdvertise
Claude Market
SkillsMCPPluginsSubmit MCPSkillPluginMCPMCP, plugin, or skillAdvertise

Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger →
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger →
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free →
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now →
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free →
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you →
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free →
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here →
Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger →
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger →
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free →
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now →
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free →
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you →
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free →
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here →
Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off
Launch on Hostinger →
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed
Launch on Hostinger →
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off
Try Firecrawl free →
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw
Deploy now →
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.
Start building free →
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams
Get it set up for you →
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit
Try DataForSEO free →
Reach 47,000+ AI builders
Advertise here →
Skills/warpdotdev/common-skills/write-feature-docs
write-feature-docs logo

write-feature-docs

warpdotdev/common-skills
1K installs119 stars
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://github.com/warpdotdev/common-skills --skill write-feature-docs

Summary

Draft a complete documentation page for a new Warp feature from its PRODUCT.md and/or TECH.md spec. Use when an engineer has written a spec and needs to produce a first-pass MDX draft for the warpdotdev/docs repo. Also handles features without specs by researching the codebase first. Invoke this skill whenever an engineer mentions writing docs for a feature, drafting a docs page, creating feature documentation, starting the eng-docs workflow, or converting a spec into documentation. Works from warp-internal or warp-server.

SKILL.md

write-feature-docs

Draft a complete documentation page for a new Warp feature. You read the feature's spec, verify technical claims by researching the codebase yourself, present a concise outline for the engineer to confirm, then produce a complete MDX draft and open a draft PR in warpdotdev/docs — tagging the docs team for review.

The engineer's job is to confirm what you couldn't verify from the spec and code — not to do a full accuracy review, not to polish prose, not to know docs conventions.

The workflow

  1. Find and read the spec files
  2. Research the codebase to verify technical claims — minimize what the engineer needs to check
  3. Generate a concise outline, distinguishing verified facts from open questions
  4. Engineer confirms or corrects
  5. Generate the complete MDX draft
  6. Attempt screenshot capture via computer use (if available)
  7. Open a draft PR in warpdotdev/docs and tag the docs team

---

Step 1: Find and read the spec

Ask the engineer for the spec ID if they haven't provided it. The spec ID is one of:

  • A Linear ticket number: APP-1234
  • A GitHub issue (prefixed with gh-): gh-4567
  • A short kebab-case feature name: vertical-tabs-hover-sidecar

Look for the spec files at:

  • specs/<id>/PRODUCT.md — primary source: user-facing behavior, what and why
  • specs/<id>/TECH.md — secondary source: implementation, data model

Read both files if both exist. PRODUCT.md is the primary driver for the docs content.

When reading TECH.md: Before incorporating anything from it, identify content that looks like internal implementation detail — database schema, internal service names, private API endpoints, confidential server architecture. Present these flagged items to the engineer and ask them to confirm what's safe to include in public docs and what should stay internal. Do not include anything marked confidential in the draft.

If neither file exists, skip to No-spec fallback.

---

Step 2: Research the codebase

Before presenting the outline, use the GitHub CLI to verify as much technical content as possible yourself — reducing what the engineer needs to confirm to only what you genuinely cannot determine from the code.

Things to verify from code:

  • Feature flag name: gh search code "<feature-name>" --repo warpdotdev/warp-internal
  • UI strings: search for user-visible button labels, menu item names, or setting names referenced in the spec
  • Settings paths: confirm exact Settings menu paths (e.g., Settings > AI > Knowledge)
  • CLI commands or keyboard shortcuts mentioned in the spec
  • Related features: identify other features that cross-reference this one for "Related pages"

For each claim you verify from code, mark it confirmed. For claims you can't verify (UI behavior not in code, product intent, behavior of unreleased features), flag them as [UNVERIFIED] in the outline — those are the only things the engineer needs to focus on.

---

Step 3: Generate and present the outline

Generate a concise outline — no prose. The outline shows what you've confirmed from research and exactly what still needs engineer input.

Print the outline to the terminal in this format:

📄 Docs outline for [Feature name]

PROPOSED PLACEMENT
  Section:  src/content/docs/<section>/   (e.g., agent-platform/cloud-agents/)
  File:     <feature-name>.mdx
  URL:      docs.warp.dev/<path>/<feature-name>

CONTENT SECTIONS
  H1:  <Feature name>
  Opening paragraph: [1-sentence description of what you'll write]
  ## Key features — [which 2-4 capabilities to highlight as bullets]
  ## How it works — [the conceptual model: what and why, no steps]
  ## <Usage section title> — [e.g., "Creating environments", "Configuring X"]
      Prerequisites: [any prerequisites to list]
      Steps:
        1. [Step description]
        2. [Step description]
        3. [Step description]
        ...
  ## Related pages — [cross-links to suggest]

VERIFIED FROM CODEBASE ✅
  - [e.g., "Feature flag: `my_feature_flag` confirmed in warp-internal"]
  - [e.g., "Settings path: confirmed as Settings > AI > Agents > Permissions"]

NEEDS YOUR CONFIRMATION ⚠️
  - [e.g., "Step 3 — does the sync trigger automatically or require a manual action?"]
  - [e.g., "Is the 'Export' button visible before the feature flag is enabled?"]

After printing the outline, say:

"I've verified what I could from the codebase. Please check the items marked ⚠️ above and reply with any corrections, or say 'looks good' to proceed."

Wait for the engineer's reply before continuing. Incorporate their feedback, then draft.

---

Step 4: Generate the MDX draft

Generate a complete .mdx file based on the confirmed outline. The output is ready to drop directly into warpdotdev/docs.

Template structure

---
description: >-
  [1-2 sentence standalone summary. Lead with the user benefit. Include the
  feature name and a key term or two so it works as a search result snippet.]
---

# [Feature name]

[Opening paragraph: what the feature does and its primary benefit.
1-3 sentences. Lead with what the user can accomplish, not the implementation.]

:::note
[Optional: key context the reader needs upfront — a prerequisite, a limitation,
or when NOT to use this feature. Delete this callout if nothing applies.]
:::

## Key features

* **Feature A** - What it does and why it matters to the user.
* **Feature B** - What it does and why it matters to the user.

## How it works

[CONCEPTUAL section: explain system behavior, data flow, or architecture.
Answer "what" and "why" before "how." Define any new terms when they
first appear. Do NOT include step-by-step procedures in this section —
keep conceptual and procedural content clearly separated.]

## [Usage section title]

[PROCEDURAL section: motivate the task first, then give numbered steps.
Briefly explain why the user is doing this before telling them how.]

### Prerequisites

* **[Prerequisite]** - What it is and where to get it. See [full reference](link-here).

### [Task name — sentence case, e.g., "Create an environment with the CLI"]

1. First step. Expected outcome if not obvious.
2. Second step.
3. Third step.

## Related pages

* [Related feature](../path/to/page.md)
* [Deeper guide](../path/to/guide.md)

Style rules — apply exactly

These conventions come from the Warp docs style guide and must be followed:

Headings

  • Sentence case for all headings: capitalize only the first word and proper feature names
  • Proper feature names keep their capitalization: "Agent Mode", "Warp Drive", "Oz", "Command Palette"
  • ✅ ## How it works — ❌ ## How It Works
  • ✅ ## Agent Mode settings — ❌ ## Agent mode settings

Lists

  • Bold term + dash + description: * Term - Description
  • Never use a colon: ❌ * Term: Description

UI elements and paths

  • Bold for buttons, links, menu items: Click Save, not ` Click Save `
  • Bold each segment in a Settings path, leave > plain: Settings > AI > Knowledge

Voice and tone

  • Second person: "you can," "allows you to"
  • Active voice: "Warp indexes your codebase" — not "your codebase is indexed"
  • Avoid "simple," "easy," "just" — these dismiss the reader's experience
  • Present tense for how things work; imperative for instructions

Frontmatter description

  • Write as a standalone summary that works as a search result snippet
  • Lead with user benefit, include the feature name and key terms
  • ✅ Environments ensure your cloud agents run with a consistent toolchain. Learn when to use environments and how to configure them.
  • ❌ This page describes environments.

Callout syntax (Astro Starlight)

  • :::note — supplemental context, tips
  • :::caution — caveats, limitations
  • :::danger — destructive or irreversible actions
  • :::tip — confirmation of expected outcomes

What to leave as [TODO: docs reviewer — ...] placeholders

  • Screenshots where computer use fails the quality gate, is unavailable, or the feature isn't yet shipped
  • Video/GIF embeds
  • Exact Settings path if the feature hasn't shipped yet
  • Final URL path (docs team confirms placement)
  • Any behavior that remained unverified after engineer confirmation

---

Step 4.5: Capture screenshots via computer use (if available)

After generating the draft, attempt to capture screenshots for any [TODO: docs reviewer — screenshot needed] placeholders using computer use. This step is optional — only run it if the computer_use tool is available. If computer use is unavailable, leave all placeholders as-is.

Decide which screenshots to attempt

Only attempt screenshots where all of the following are true:

  • The feature is already shipped (not behind a feature flag or unreleased)
  • The UI state can be reliably navigated to programmatically
  • The placeholder specifies a concrete UI surface (not vague like "show the feature working")

Skip screenshots that require account-specific state, specific data, or content that would expose sensitive information.

Pre-capture setup

Before taking any screenshot:

  1. Launch Warp at a consistent window size (use the warp-internal-computer-use skill for launch guidance)
  2. Navigate to the relevant UI surface or trigger the relevant feature state
  3. Wait for all animations to complete and the UI to be fully settled
  4. Dismiss any unrelated popups, notifications, or toasts that aren't part of the feature being documented
  5. Close any sidebar panels or panes not relevant to this screenshot
  6. Verify no sensitive data is visible: check for tokens, API keys, private repo names, customer workspace data, email addresses, or personal information. If any is visible, do not take the screenshot.

Capture protocol: predict → capture → verify → retry once

This is a structured self-verification loop. Do not skip it — it's the primary guard against wrong-state, wrong-crop, and wrong-framing captures.

Step 1: State the expectation before capturing

Before taking any screenshot, write out what you expect to see:

CAPTURE EXPECTATION
  Subject:            [The specific UI element or surface being documented]
  Expected elements:  [2-3 specific things that MUST be visible — e.g. a panel title, a button, a specific setting]
  Expected state:     [The UI state — e.g. "Settings panel open", "Modal visible", "Feature active and showing output"]
  Must not contain:   [Anything that must NOT be visible — e.g. sensitive data, unrelated popups, loading spinners]

Step 2: Capture

Take the screenshot.

Step 3: View and verify against the expectation

Use computer use to view the captured image, then check it against the expectation:

  • Is the stated subject visible and clearly the focal point?
  • Are all expected elements present?
  • Is the UI in the expected state (not a transitional or loading state)?
  • Is anything from must not contain visible?
  • Is text legible at the target display width?

If all pass → proceed to the quality gate.

If any fail → attempt once more: re-navigate to the UI state, wait longer for the UI to settle, then re-capture and re-verify.

If the second attempt also fails → discard the screenshot and leave the [TODO: docs reviewer — screenshot] placeholder. Do not include a screenshot you can't verify.

Step 4: Quality gate — final check before including

  • [ ] Text in the screenshot is legible at the target display size
  • [ ] The documented UI element is clearly the focal point — not buried, cropped out, or obscured
  • [ ] No sensitive data is visible (tokens, private repos, personal info, customer data)
  • [ ] UI is in a stable, non-loading state — no spinners, skeleton screens, or transitional states
  • [ ] Screenshot matches the capture expectation stated before capture
  • [ ] The screenshot would make sense at its target rendered width without looking blurry or oversized

If any item fails, discard the screenshot and leave the [TODO: docs reviewer — screenshot] placeholder.

Maximum attempts per screenshot: 2. If both fail, move on.

Sizing — choose the closest standard width

  • Full-width (default) — full-window captures, broad product surfaces, layouts where surrounding context matters
  • ~375px — narrow UI surfaces: popovers, command menus, side panes, dropdowns, focused interaction flows
  • ~300–350px — tightly cropped controls, chips, buttons, tooltips, small menus

Crop unnecessary empty space before sizing. Keep sequences of screenshots in the same section at the same width.

Placement — where to insert the screenshot in the MDX

Insert each screenshot:

  • Immediately after the paragraph that introduces the UI or state it shows
  • Near configuration instructions — show settings panels or menus where users make choices
  • Near status or result explanations — show completion states or outputs that help users recognize success
  • At the start of a visual feature page — use a broad orientation screenshot early

Do not add a screenshot for every step in a procedure. Only add one where the visual genuinely aids comprehension.

MDX format

<figure>
  <img
    src="../../../assets/<section>/<feature-name>-<ui-state>.png"
    alt="[Descriptive alt text: what the image shows, not just 'screenshot']"
  />
  <figcaption>[Caption: complete sentence, ≤10 words, orient don’t instruct, no marketing language, sentence case, ends with period.]</figcaption>
</figure>

Alt text rules:

  • Describe what the image shows, not just "screenshot"
  • ✅ alt="Agent permissions settings with 'Always allow' selected for file reads"
  • ❌ alt="screenshot" or alt=""

Caption rules:

  • Orient the reader — describe what is shown, not what to do
  • Complete sentence, ≤10 words ideally, never exceed ~20 words
  • No marketing language (avoid "easily," "quickly," "powerful," "at a glance")
  • Don't repeat the prose — the caption adds context, not an echo
  • Don't list everything visible — name the subject
  • ✅ <figcaption>The Environments page in the Oz web app.</figcaption>
  • ❌ <figcaption>Click the toast to jump to the agent’s session.</figcaption> (procedural — put this in body text)

File naming: lowercase, hyphens, descriptive — e.g. agent-mode-permissions-panel.png

File location: Save PNGs to src/assets/<section>/ in warpdotdev/docs (Astro optimizes them automatically).

---

Step 5: Open the draft PR

After generating the draft, submit it to warpdotdev/docs automatically:

  1. Clone warpdotdev/docs to a temp directory (or use the local clone if available)
  2. Write the MDX file to src/content/docs/<proposed-section>/<filename>.mdx
  3. Add a placeholder entry to src/sidebar.ts under the appropriate section (mark it [TODO: docs reviewer — confirm placement])
  4. Commit and push on a new branch named docs/<spec-id>-feature-draft
  5. Open a draft PR in warpdotdev/docs with a description that includes:
  • The feature name and spec ID
  • A link to the original spec PR
  • A list of all [UNVERIFIED] and [TODO] items in the draft for reviewer attention
  1. Request review from @rachaelrenk, @petradonka, and @hongyi-chen

---

No-spec fallback

If specs/<id>/PRODUCT.md and specs/<id>/TECH.md don't exist, research the codebase first before interviewing the engineer.

Research steps:

  1. Search warpdotdev/warp-internal (or warp-server depending on context) for the feature name and related terms: gh search code "<feature-name>" --repo warpdotdev/warp-internal
  2. Read the most relevant source files to understand what the feature does
  3. Check for spec files under a different ID: gh api repos/warpdotdev/warp-internal/git/trees/HEAD?recursive=1 | grep -i spec
  4. Review recent merged PRs related to the feature: gh pr list --search "<feature-name>" --state merged --repo warpdotdev/warp-internal --limit 10

After research, build as complete a picture as possible, then use ask_user_question only for specific gaps you couldn't fill from the code — not as a broad interview. Frame the questions concretely: "I found the feature in app/src/ai/. Based on the code, here's what I understand: [summary]. I couldn't determine these two things: [specific questions]."

Build the outline from your research and the engineer's targeted answers, then proceed to Step 3 (outline confirmation) before drafting.

---

Ambient mode (called by scan-new-specs)

When this skill is invoked by scan-new-specs rather than an engineer directly, it runs in ambient mode — there is no interactive terminal session, so the outline confirmation step must be handled differently.

In ambient mode:

  1. Complete Steps 1 and 2 (read spec, research codebase) as normal
  2. Skip the interactive outline confirmation. Instead, embed the outline directly in the PR description as a checklist:
## Docs outline (auto-generated)

The following outline was generated from the spec. **@<github-username>: please review and check off each item, or leave a comment with corrections.**

### Content structure
- [ ] H1: `<feature name>`
- [ ] Opening paragraph describes: [your 1-sentence summary]
- [ ] Key features section covers: [which capabilities]
- [ ] How it works section covers: [the conceptual model]
- [ ] `## <Usage section>` with steps: [numbered list]
- [ ] Related pages: [suggested cross-links]

### Items needing engineer verification ⚠️
- [ ] [UNVERIFIED item 1 — e.g. "Does this trigger automatically or require manual action?"]
- [ ] [UNVERIFIED item 2]

### Verified from codebase ✅
- [What was confirmed, e.g. "Feature flag: `my_feature` in warp-internal"]
  1. Generate the full MDX draft (Step 4) with this constraint: do not draft any content derived from TECH.md in ambient mode. There is no engineer present to confirm what is confidential, so any detail that came exclusively from TECH.md (implementation internals, data model, server architecture, private API details) must be replaced with [TODO: engineer to verify — pulled from TECH.md, confirm this is safe to publish]. Only PRODUCT.md content and codebase-verified facts are safe to draft without confirmation.
  2. Attempt screenshots (Step 4.5) — if computer use is available, run the predict-then-verify capture protocol for any screenshot placeholders. Include any screenshots that pass the quality gate in the draft.
  3. Open the draft PR (Step 5) as normal — tag the spec author and docs reviewers
  4. Do not post any interactive messages to the terminal; all output should go into the PR

---

Related skills

  • write-product-spec — produces the PRODUCT.md this skill reads
  • write-tech-spec — produces the TECH.md this skill reads
  • scan-new-specs — the scheduled agent that invokes this skill in ambient mode

Score

0–100
63/ 100

Grade

C

Popularity15/30

1,080 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Write Feature Docs skill score badge previewScore badge

Markdown

[![Write Feature Docs skill](https://www.claudemarket.ai/skills/warpdotdev/common-skills/write-feature-docs/badges/score.svg)](https://www.claudemarket.ai/skills/warpdotdev/common-skills/write-feature-docs)

HTML

<a href="https://www.claudemarket.ai/skills/warpdotdev/common-skills/write-feature-docs"><img src="https://www.claudemarket.ai/skills/warpdotdev/common-skills/write-feature-docs/badges/score.svg" alt="Write Feature Docs skill"/></a>

Write Feature Docs FAQ

How do I install the Write Feature Docs skill?

Run “npx skills add https://github.com/warpdotdev/common-skills --skill write-feature-docs” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Write Feature Docs skill do?

Draft a complete documentation page for a new Warp feature from its PRODUCT.md and/or TECH.md spec. Use when an engineer has written a spec and needs to produce a first-pass MDX draft for the warpdotdev/docs repo. Also handles features without specs by researching the codebase first. Invoke this skill whenever an engineer mentions writing docs for a feature, drafting a docs page, creating feature documentation, starting the eng-docs workflow, or converting a spec into documentation. Works from warp-internal or warp-server. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Write Feature Docs skill free?

Yes. Write Feature Docs is a free, open-source skill published from warpdotdev/common-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Write Feature Docs work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Write Feature Docs works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger →
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger →
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free →
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now →
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free →
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you →
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free →
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here →
Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger →
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger →
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free →
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now →
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free →
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you →
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free →
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here →
Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off
Launch on Hostinger →
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed
Launch on Hostinger →
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off
Try Firecrawl free →
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw
Deploy now →
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.
Start building free →
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams
Get it set up for you →
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit
Try DataForSEO free →
Reach 47,000+ AI builders
Advertise here →

Categories

Command ExecutionExternal Downloads
View on GitHub

Recommended skills

Browse all →
grill-with-docs logo

grill-with-docs

mattpocock/skills

616K installsInstall
write-a-skill logo

write-a-skill

mattpocock/skills

227K installsInstall
find-skills logo

find-skills

vercel-labs/skills

2.8M installsInstall
frontend-design logo

frontend-design

anthropics/skills

731K installsInstall
grill-me logo

grill-me

mattpocock/skills

726K installsInstall
agent-browser logo

agent-browser

vercel-labs/agent-browser

612K installsInstall

Related guides

Hand-picked reading to help you choose, install, and use agent skills.

GuideBest Documentation Skills For AI AgentsGuideHow To Find The Right Openclaw Skill For Your ProjectGuideBest Openclaw Skills 2026

Skills by category

FrontendBackend & APIsTesting & QASecurityDevOps & CI/CDMCP & ToolingAutomationData & Analysis+20 more

MCP servers by category

AI & MLDeveloper ToolsVector & MemoryFiles & DocsDatabasesFinance & PaymentsBrowser & ScrapingCommunication+8 more

Marketplaces by category

developmentproductivitycommunicationdesignsecuritydatabaseworkflowcompliance+34 more

Claude Market

AI agent skills directory, marketplace, and workflow hub for OpenClaw, Hermes Agent, Claude Code, Codex, and MCP-powered operator stacks.

Independent project, not affiliated with Anthropic.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Plugins

More

  • Submit a Tool
  • Advertise
  • Free Tools
  • API
  • Shipping
  • Contact
  • Terms
  • Privacy

Know a company that should advertise here? Refer them and earn 10% — up to $300 per referral.

© 2026 Claude Market
Fazier badgeFeatured on Twelve ToolsFeatured on Wired BusinessRemote OpenClaw - Featured on AI Agents DirectoryListed on Turbo0Featured on Uneed