mangi-11/eta/self-improving-agent
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Checking that the SKILL.md file is still in the repository.
Built-in self-improvement loop. Use to record non-trivial failures, user corrections, and reusable best practices into structured learnings.
Install
npx vskill@latest install mangi-11/eta/self-improving-agentSKILL.md
Self Improving Agent
This built-in skill is fixed-injected for agent runs.
Use it to maintain a lightweight learning loop without interrupting the user's main task.
The runtime may auto-read this skill after a tool failure and auto-record the failure into data/ERRORS.md.
When To Record
Record after the immediate task is safe or complete when any of these happens:
- a non-trivial command, tool, or device action fails
- the user corrects your understanding, path, rule, or project assumption
- you discover an outdated runtime/project convention
- you find a reusable workaround or best practice that will likely save future retries
- the same mistake repeats in the same task or across tasks
Do not record ordinary chat, tiny one-off slips, or anything the user asked not to save.
Default Storage
- skill-local learnings:
self-improving-agent/data/ - error log:
self-improving-agent/data/ERRORS.md(auto-managed by the failure hook)
Logging Workflow
- Finish or stabilize the current user-facing step first.
- The runtime automatically logs structured errors after tool failures — you do not need to manually write to ERRORS.md.
- Use skill scope by default.
- Use
learningfor corrected knowledge or best practices. - Use
errorfor concrete failures with stderr, HTTP errors, stack traces, or invalid assumptions. - Use
featurefor recurring capability gaps the user actually wants.
Memory Promotion
Promote a lesson into a stable rule only when it is short, reusable, and broadly applicable.
Good candidates:
- a rule like "遇到 X 先检查 Y"
- a stable workspace convention
- a long-term user preference the user explicitly wants remembered
Prefer this order:
- errors are auto-logged into the skill data by the failure hook
- review
data/ERRORS.mdwhen similar failures recur - distill stable rules into your system prompt or user-facing guidance
Output Discipline
- keep summaries short and specific
- include the concrete command/tool/context that failed
- include the corrected rule, not only the symptom
- avoid logging secrets, tokens, and personal data
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingapp/src/main/assets/builtin_skills/self-improving-agent/SKILL.md
Popularity
- Repository stars
- 1,485
- Repository forks
- 139
- 7-day trend score
- 37
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
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