AI导哈

智能体工作流

self-improvement

pskoett/pskoett…i-skills

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wrong...', 'Actually...'), (2) User requests a capability that doesn't exist, (3) Claude realizes its knowledge is outdated or incorrect, (4) A better approach is discovered for a recurring task, (5) Receiving a Handoff block from self-healing (a recurring verified heal with Recurrence-Count at least 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.

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安装命令

npx skills add https://github.com/pskoett/pskoett-ai-skills --skill self-improvement

SKILL.md

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.

For installation commands, see references/installation.md. For optional agent activation and hooks, see references/hooks-setup.md. Read these only when installing or configuring the skill.

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. They share .learnings/ but write to different files; verify discipline lives in self-healing, promotion logic lives here.

Quick Reference

相关 Skills

self-improvement-cipskoett/pskoett…i-skillsCI-only self-improvement workflow using gh-aw (GitHub Agentic Workflows). Captures recurring failure patterns and quality signals from pull request checks, emits structured learning candidates, and proposes durable prevention rules without interactive prompts. Use when: you want automated learning capture in CI/headless pipelines.智能体工作流547simplify-and-hardenpskoett/pskoett…i-skillsPost-completion self-review for coding agents that runs simplify, harden, re-verification, and micro-documentation passes on non-trivial code or high-impact configuration changes. Use when a task is complete in a general agent session and you want a bounded quality and security sweep before signaling done. For CI pipeline execution, use simplify-and-harden-ci.测试与安全537agent-teams-simplify-and-hardenpskoett/pskoett…i-skillsImplementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.测试与安全513