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Skills/affaan-m/ecc/growth-log
growth-log logo

growth-log

affaan-m/ecc
539 installs239K stars
Run it on Hostinger, 20% off →Your friend gets 20% off too, using this linkFree API →|View on GitHub|Create your own skill →

Installation

npx skills add https://github.com/affaan-m/ecc --skill growth-log

Summary

Use after a complex task, failure, or when reviewing what was learned. Teaches how to write growth logs that extract reusable patterns — not diary entries.

SKILL.md

Growth Log Skill

The problem: Most people write "fixed a bug in X" as a learning log. That's a diary entry, not a learning artifact. A real growth log extracts the pattern so you recognize it next time. This skill teaches: How to write learning entries that compound across sessions. Works with any note-taking system — Markdown files, Notion, Obsidian, plain text. Templates are generic; adapt to your setup.

When to Activate

  • After completing a complex task (multi-file, new feature, architecture change)
  • After a failure, mistake, or "that was harder than expected" moment
  • When you want to review what you've learned over a period

When NOT to activate: Trivial changes (typo fixes, single-line tweaks, config value changes with no debugging). The threshold: did this task involve debugging, redoing, rollback, or a non-obvious decision? If yes → write an entry. If no → skip.

The Three Rules

Rule 1: Failures > Achievements

A failure is nutritionally denser than a success. One bug that took 2 hours to find teaches more than 3 features that worked first try.

Bad: "Successfully implemented the login flow." Good (web dev): "Login flow: session token wasn't persisting because the cookie SameSite defaulted to Lax in Chrome 128+. Pattern: always explicitly set SameSite=None; Secure when cross-origin. Signal to recognize: auth breaks after browser upgrade or when crossing origin boundaries." Good (data pipeline): "CSV import failed silently on empty rows because pandas.read_csv(dropna=False) keeps zero-width rows that len() counts as valid. Pattern: always df.dropna(how='all', inplace=True) before row-count validation."

Rule 2: The Bole Principle (伯乐原则)

Before writing a new entry, ask: "Is this fundamentally the same as something I already recorded?"

Same root cause, different symptom → merge, don't duplicate. New root cause → new entry.

How to check: Search existing entries for keywords from your root cause before writing. If you find a match, add your new symptom as an additional example under the existing entry rather than creating a duplicate.

Example: "Forgot to update the output index after creating a file" and "Forgot to update skill ratings after a task" — same root cause (no automatic capture trigger). Merge into one entry about "post-task capture gaps."

Rule 3: Must Be Transferable

Every entry must answer: "Next time I face a similar situation, what do I do differently?"

If you can't write that sentence, you haven't extracted the pattern yet.

How to extract a pattern from a concrete event:

  1. State what happened in one sentence
  2. Ask "why?" iteratively until you reach root cause (usually 3-5 whys)
  3. Generalize: "What class of problem is this?" (not "Chrome 128 bug" but "browser default change breaking existing behavior")
  4. Formulate as: "Next time I see [signal], I will [action]."
  5. Name the signal: what specific observable tells you this pattern is active?

Entry Template

Scope: One entry per distinct root cause. Typical length: 4-8 sentences. If it takes >2 minutes to write, you're narrating events. If <30 seconds, you haven't gone deep enough.

## [Title: the pattern, not the event]

### Context
- What was I trying to do?
- What went wrong / what worked surprisingly well?

### Root Cause / Core Insight
- The underlying mechanism, not just the symptom

### The Pattern (transferable)
- Next time [similar situation], I will [specific action].
- Signal to recognize: [what observable tells me this pattern is active?]

### Related
- [entry-name](../path/to/related-entry.md)

Entry Types

All four types use the template above. The type determines which sections carry the most weight:

TypeWhen to UseEmphasisExample Title
FailureSomething broke, needed debugging, or required reworkRoot Cause"Config inheritance ≠ behavior inheritance across sessions"
MethodologyA repeatable process emerged from the workContext / Pattern"PPT → open-book exam study guide: three-layer structure"
Pattern DiscoveryA reusable insight about tools, systems, or thinkingPattern section"PR description template: describe the gap, not the feature"
Capability ChangeA measurable skill improvementContext (before vs after)"Git: from clone/push to independent PR with 12 commits"

Quality Checklist

Before finalizing a growth log entry:

  • [ ] Does the title name the pattern, not the event?
  • [ ] Is there a "Next time I will..." sentence?
  • [ ] Is the "Signal to recognize" specific enough to trigger the pattern next time?
  • [ ] Did I search existing entries for duplicates before writing? (Bole Principle)
  • [ ] Is the root cause distinguished from the symptom?
  • [ ] Are related memories cross-linked?
  • [ ] Is the entry 4-8 sentences? Shorter = too shallow; longer = narrating events.

Anti-Patterns

  • Avoid: "Fixed bug in payment module" (event, not pattern)
  • Avoid: Copying the git commit message verbatim (commits describe what changed; logs extract why it matters)
  • Avoid: Writing an entry for every commit (only when a pattern emerges)
  • Avoid: Skipping the transferable sentence (without it, it's just a diary — this is non-negotiable)
  • Avoid: Duplicating the same pattern under different titles (violates Bole Principle — search before writing)

Storage

Store entries wherever you keep notes. Common patterns:

  • Markdown files in a growth-log/ directory (one file per day: YYYY-MM-DD.md)
  • A dedicated section in Notion, Obsidian, or your note-taking app
  • Plain text files with a consistent naming convention

Pick one convention and stick to it. Searchability matters more than format.

If You Use Delivery Gate

The delivery-gate Stop hook checks that learning files were modified today via filesystem timestamps. This skill teaches what to write — so the file that delivery-gate checks actually contains useful patterns, not empty timestamps.

Task completes → delivery-gate checks: was the learning file touched today?
  → Stale (no file modified): block — "what did you learn?"
  → Fresh (file touched): pass — this skill ensures the content is useful

Having enforcement without methodology → empty entries. Having methodology without enforcement → forgotten captures. Each is independently useful; together they close the loop.

Score

0–100
65/ 100

Grade

C

Popularity17/30

539 installs — growing adoption. Source repo has 239,202 GitHub stars.

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.

Growth Log skill score badge previewScore badge

Markdown

[![Growth Log skill](https://www.claudemarket.ai/skills/affaan-m/ecc/growth-log/badges/score.svg)](https://www.claudemarket.ai/skills/affaan-m/ecc/growth-log)

HTML

<a href="https://www.claudemarket.ai/skills/affaan-m/ecc/growth-log"><img src="https://www.claudemarket.ai/skills/affaan-m/ecc/growth-log/badges/score.svg" alt="Growth Log skill"/></a>

Growth Log FAQ

How do I install the Growth Log skill?

Run “npx skills add https://github.com/affaan-m/ecc --skill growth-log” 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 Growth Log skill do?

Use after a complex task, failure, or when reviewing what was learned. Teaches how to write growth logs that extract reusable patterns — not diary entries. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Growth Log skill free?

Yes. Growth Log is a free, open-source skill published from affaan-m/ecc. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Growth Log work with Claude Code and OpenClaw?

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

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