Automated summary
Analyzes agent memory files to produce a reflection report with suggestions for skill extraction, sub-agent creation, and context size management.
Strengths
- Identifies repeated patterns for automation as skills
- Detects context size issues
- Suggests creation of new specialized agents
- Integrates with existing memory structure
Limitations
- Only works with specific memory format (MEMORY.md sections)
- Requires existing agent memory files to be populated
- Suggestions are based on pattern detection, not execution
Use when you want to systematically improve agent efficiency and identify automation opportunities from past work patterns.
Avoid when agent memory is sparse or when a fresh start is preferred over incremental optimization.
Security analysis
SafeThe skill only uses read-only tools (Read, Grep, Glob) to analyze local agent memory files. No destructive, exfiltrating, or obfuscated actions are performed. It poses no execution risk.
No concerns found
How this analysis is madeExamples
Run a retrospection on all agent memories and output a markdown report.Check if any agent memory files exceed 200 lines and suggest cleanup.Analyze repeated patterns in my agent memories and propose new skills to automate them.name: retro description: エージェントの振り返りを実行し、スキル化候補・サブエージェント増設提案・コンテキスト肥大化チェックをレポートする user-invocable: true argument-hint: "(引数なし)" allowed-tools: Read, Grep, Glob
振り返り・効率化スキル
エージェントのメモリを分析し、効率化のための提案を行う。
処理フロー
1. エージェントメモリ分析
.claude/agent-memory/*/MEMORY.mdを全て読み込み- 各ファイルの行数をチェック(200行超 → コンテキスト肥大化警告)
- 「Repeated Patterns」セクションから繰り返しパターンを集約
2. スキル化候補の検出
- 繰り返しパターンを分析し、スキル化で自動化できるものを提案
- 既存スキル(
.claude/skills/*/SKILL.md)と重複しないか確認
3. サブエージェント増設の判断
- 「Pain Points」セクションから、既存エージェントではカバーできない領域を検出
- 新エージェント作成の提案(役割・ツール・スコープ)
4. コンテキスト肥大化チェック
- MEMORY.mdの行数 > 200行: 整理推奨
- 同じ知見が複数エージェントに重複: 共有ルール化を提案
5. レポート出力
出力フォーマット
## 振り返りレポート
### コンテキスト状況
| エージェント | MEMORY.md行数 | ステータス |
|-------------|--------------|-----------|
| kotlin-dev | 45行 | 正常 |
| ios-dev | 210行 | 要整理 |
### スキル化候補
- [ ] (パターン名)((エージェント名)で(N)回以上実施)
### サブエージェント増設提案
- (提案またはなし)
### ルール追加提案
- [ ] (提案)
エージェントメモリ規約
各エージェントのMEMORY.mdに以下のセクションを維持する:
- Repeated Patterns: 繰り返し行った作業パターン
- Pain Points: 既存の仕組みでは解決しにくかった課題
- Lessons Learned: 学んだ知見・ベストプラクティス
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/agent-retrospective-analysis-mm8o529m/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/agent-retrospective-analysis-mm8o529m' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/agent-retrospective-analysis-mm8o529m/download' --output '.skill-downloads/agent-retrospective-analysis-mm8o529m/SKILL.md.part' && mv '.skill-downloads/agent-retrospective-analysis-mm8o529m/SKILL.md.part' '.skill-downloads/agent-retrospective-analysis-mm8o529m/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
Tools declared by the author (check availability in your agent): Read, Grep, Glob
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/agent-retrospective-analysis-mm8o529m/SKILL.md' && test -s '.skill-downloads/agent-retrospective-analysis-mm8o529m/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/retro' && cp -R '.skill-downloads/agent-retrospective-analysis-mm8o529m' '.claude/skills/retro'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/agent-retrospective-analysis-mm8o529m'openskills read 'agent-retrospective-analysis-mm8o529m'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/agent-retrospective-analysis-mm8o529m/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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