菜单
Prepare a project for open source release. Use when the user says "prep for oss", "prepare for open source", or similar. Scans, discusses, and transforms projects for public sharing.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Manage a bookmark research pipeline — fetch new bookmarks, triage against research interests, spawn parallel deep-dive agents, and review results. Use when the user says "bookmark sync", "check bookmarks", "review bookmarks", "triage bookmarks", "deep dive bookmarks", "run bookmark pipeline", or asks about setting up the bookmark system.
Update project context files when reality has drifted from docs. Use when a milestone is hit, the plan has changed, CLAUDE.md feels stale, or the user says "update the docs", "sync context", "evolve context". Walks through ledger, plan, CLAUDE.md, README, and architecture docs.
Create a new project with consistent structure and documentation. Use when the user says "new project" or "start a project" or when building something new. Sets up for agent-assisted development from day one.
Turn any question into an automated feedback loop. The pattern — design a sensor (eval), an actuator (code the agent modifies), and launch an evolutionary optimization loop. Works on any (code → run → score) problem — model training, software optimization, prompt tuning, eval design, data pipelines, agent harnesses. The eval function IS the research.
Mine session logs for skill usage patterns, corrections, and failures to propose improvements. Use when the user says "improve skills", "review skill usage", "what have we learned about our skills", or periodically to evolve skills based on real usage data.
Design and improve harnesses — the environments, constraints, feedback loops, and control systems that make AI agents do reliable work. Use when setting up a new project for agent-assisted development, diagnosing why agents are producing bad output, reviewing architectural constraints, or thinking about how to scale human oversight of agent workflows. Synthesizes OpenAI's harness engineering principles with cybernetic control theory.
| name | oss-prep |
| description | Prepare a project for open source release. Use when the user says "prep for oss", "prepare for open source", or similar. Scans, discusses, and transforms projects for public sharing. |
Prepare a personal project for public release. This is a collaborative process—scan first, discuss options, then transform.
When the user says:
Optimizing for:
Design philosophy:
git checkout -b oss-prep
All changes happen on this branch for review before merging.
Scan the project for items that need attention:
Personal identifiers:
/Users/...)Project structure:
Documentation:
Agent-usability:
Present findings and discuss:
Based on discussion, make changes:
Path generalization:
# Before
path = "/Users/someone/Desktop/project"
# After
path = os.path.expanduser("~/project")
# or
path = os.environ.get("PROJECT_PATH", os.path.expanduser("~/project"))
README transformation:
Standalone CLI:
MCP Server:
Claude Code Plugin:
Library/Package:
git diff main
Walk through changes together before committing.
If approved, commit. Then discuss: merge to main, or keep branch for further iteration?
Empty — add failure modes here as they're discovered in real use.
After completing, summarize: