本文へ移動
cccskills
無料GitHub で公開

self-improvement

Captures learnings, errors, corrections, and feature requests to enable continuous improvement. Use when: (1) User corrects Claude ('No, that's wrong...', 'Actually...'), (2) User requests a capability that doesn't exist, (3) Claude realizes its knowledge is outdated or incorrect, (4) A better approach is discovered for a recurring task, (5) Receiving a Handoff block from self-healing (a recurring verified heal at Recurrence-Count >= 3) to distill into a memory file or new skill. For ACTIVE runtime failures where the agent needs to apply and verify a fix mid-task, use `self-healing` instead (it files HEAL- entries with proof; self-improvement promotes accumulated patterns). Also review learnings before major tasks. For CI-only/headless learning capture, use self-improvement-ci.

日本語の概要は準備中です。原文の説明を表示しています。

ProjectZeroDays/FreeAI_AI_Inference_Workstationスター 5(GitHub 5 + cccskills 0)

実行スコア 未検証

インストール方法を見る

含まれるファイル(1)

  • SKILL.md5.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Self-Improvement Skill

Log learnings and errors to markdown files for continuous improvement. Coding agents can later process these into fixes, and important learnings get promoted to project memory.

Pair with self-healing: self-healing is the active runtime recovery primitive — it diagnoses, patches, verifies, and files HEAL- entries to .learnings/HEALS.md when something breaks mid-task. Self-improvement (this skill) is the passive accumulation and promotion layer — it logs corrections, knowledge gaps, and feature requests, and promotes recurring heal handoffs to permanent memory.

Quick Reference

SituationAction
Active failure mid-task — agent needs to fix it nowUse self-healing instead
Command/operation failed in the pastLog to .learnings/ERRORS.md
User corrects youLog to .learnings/LEARNINGS.md with category correction
User wants missing featureLog to .learnings/FEATURE_REQUESTS.md
API/external tool failsLog to .learnings/ERRORS.md with integration details
Self-healing Handoff block meets promotion rulePromote the Distilled Rule to CLAUDE.md / AGENTS.md / new skill
Knowledge was outdatedLog to .learnings/LEARNINGS.md with category knowledge_gap
Found better approachLog to .learnings/LEARNINGS.md with category best_practice

Setup

mkdir -p .learnings

Logging Format

Learning Entry

Append to .learnings/LEARNINGS.md:

## [LRN-YYYYMMDD-XXX] category

**Logged**: ISO-8601 timestamp
**Priority**: low | medium | high | critical
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config

### Summary
One-line description of what was learned

### Details
Full context: what happened, what was wrong, what's correct

### Suggested Action
Specific fix or improvement to make

### Metadata
- Source: conversation | error | user_feedback
- Related Files: path/to/file.ext
- Tags: tag1, tag2
- See Also: LRN-20250110-001 (if related)
- Pattern-Key: simplify.dead_code (optional)
- Recurrence-Count: 1

Error Entry

Append to .learnings/ERRORS.md:

## [ERR-YYYYMMDD-XXX] skill_or_command_name

**Logged**: ISO-8601 timestamp
**Priority**: high
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config

### Summary
Brief description of what failed

### Error
Actual error message or output

### Context
- Command/operation attempted
- Input or parameters used
- Environment details if relevant

### Suggested Fix
If identifiable, what might resolve this

### Metadata
- Reproducible: yes | no | unknown
- Related Files: path/to/file.ext

Feature Request Entry

Append to .learnings/FEATURE_REQUESTS.md:

## [FEAT-YYYYMMDD-XXX] capability_name

**Logged**: ISO-8601 timestamp
**Priority**: medium
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config

### Requested Capability
What the user wanted to do

### User Context
Why they needed it, what problem they're solving

### Complexity Estimate
simple | medium | complex

### Suggested Implementation
How this could be built, what it might extend

### Metadata
- Frequency: first_time | recurring

ID Generation

Format: TYPE-YYYYMMDD-XXX where TYPE is LRN (learning), ERR (error), FEAT (feature).

Promoting to Project Memory

When a learning is broadly applicable, promote it to permanent project memory.

When to Promote

  • Learning applies across multiple files/features
  • Knowledge any contributor should know
  • Prevents recurring mistakes
  • Documents project-specific conventions

Promotion Targets

TargetWhat Belongs There
CLAUDE.mdProject facts, conventions, gotchas
AGENTS.mdAgent-specific workflows, tool usage patterns
.github/copilot-instructions.mdProject context for GitHub Copilot

Recurring Pattern Detection

If logging something similar to an existing entry:

  1. Search first: grep -r "keyword" .learnings/
  2. Link entries: Add **See Also**: ERR-20250110-001
  3. Bump priority if issue keeps recurring

Best Practices

  1. Log immediately - context is freshest right after the issue
  2. Be specific - future agents need to understand quickly
  3. Include reproduction steps - especially for errors
  4. Link related files - makes fixes easier
  5. Suggest concrete fixes - not just "investigate"
  6. Promote aggressively - if in doubt, add to CLAUDE.md or AGENTS.md

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

コメント

ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。

まだコメントはありません。最初のコメントを書いてみませんか。

送信するとすぐに公開されます。メールアドレスや電話番号などの個人情報は書かないでください。URL は 2 つまでです。

0 / 1000 文字

このフォームは reCAPTCHA で保護されており、Google のプライバシーポリシーと利用規約が適用されます。

同じリポジトリのスキル

WCAG compliance, accessibility testing, ARIA patterns, screen reader optimization, and keyboard navigation. Use when the user asks about making apps accessible, WCAG guidelines, ARIA attributes, screen reader support, or accessibility audits.

日本語の概要は準備中です。原文の説明を表示しています。

ProjectZeroDays/FreeAI_AI_Inference_Workstation52026年9月4日 更新

ace-music

無料

Generate AI music using ACE-Step 1.5 via ACE Music's free API. Use when the user asks to create, generate, or compose music, songs, beats, instrumentals, or audio tracks. Supports lyrics, style prompts, covers, and repainting. Free API, no cost.

日本語の概要は準備中です。原文の説明を表示しています。

ProjectZeroDays/FreeAI_AI_Inference_Workstation52026年9月4日 更新

A continuously adaptive skill suite that empowers Clawdbot to act as a versatile coder, business analyst, project manager, web developer, data analyst, and NAS metadata scraper. It intelligently discovers free resources, adapts to user context, and ensures reliable, proven guidance across multiple domains.

日本語の概要は準備中です。原文の説明を表示しています。

ProjectZeroDays/FreeAI_AI_Inference_Workstation52026年9月4日 更新

High-fidelity intelligence gathering and data assimilation. Focuses on synthesizing fragmented data into a comprehensive target operational picture.

日本語の概要は準備中です。原文の説明を表示しています。

ProjectZeroDays/FreeAI_AI_Inference_Workstation52026年9月4日 更新

Use when Codex needs proactive task queues, heartbeat routines, scheduled follow-up, or continuous work loops instead of waiting for prompts.

日本語の概要は準備中です。原文の説明を表示しています。

ProjectZeroDays/FreeAI_AI_Inference_Workstation52026年9月4日 更新

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

日本語の概要は準備中です。原文の説明を表示しています。

ProjectZeroDays/FreeAI_AI_Inference_Workstation52026年9月4日 更新

ProjectZeroDays のスキルをすべて見る

このスキルの問題を報告する