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。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/jleechanorg/claude-commands --skill autor-n15-loop命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Token-efficient second opinion slash command /advice. Extracts decision point + artifact (≤150 lines), then fans out in parallel: (1) Opus subagent reviewer with fallback chain codex→agy→cursor, (2) /research on the decision topic, (3) /secondo multi-model opinion. Use instead of advisor() which ships the full conversation uncached.
Use this skill when working in repositories managed by Agent Orchestrator or when the user asks how to use `ao` properly. Covers the default AO workflow: bootstrap with `ao start`, dispatch work with `ao spawn`, inspect progress with `ao status` or `ao session ls`, steer sessions with `ao send`, and recover or clean up sessions safely. Includes strict parameter fidelity, pre-spawn cap cleanup, quota-wall fallback, and post-spawn verification.
Generate a full agento PR status report — draft readiness, canonical /green, zero-touch rate, inline display, and Slack summary.
基于 SOC 职业分类
正在显示 SKILL.md
| name | autor-n15-loop |
| description | Drive the autor phase-three n=15 per technique loop. |
Loop interval: 30m | Max duration: 12h (24 iterations)
Drive SelfRefine/ET/PRM autor PR generation until each technique reaches n=15 samples in the Thompson bandit.
chore/auto-research-phase3 is pushed and not detachedpython technique_bandit/technique_selector.py --rank
If all three techniques have n≥15 → STOP (goal reached).
python technique_bandit/technique_selector.py --suggest <PR#>
Use the suggested technique for the next run.
cd to ~/llm-wiki-autor-phase3 (NOT the main workspace).
For the suggested technique, pick a paper from the autor benchmark that has the fewest SelfRefine/ET/PRM samples. Run the autor pipeline:
# Example for SelfRefine
cd ~/llm-wiki-autor-phase3
autor run --technique SelfRefine --paper <paper_id> --pr-number <next_pr>
If the autor CLI is not available, use the manual workflow:
Use the 6-dim rubric on the new PR diff:
python layer/score_pr.py <pr_number>
python technique_bandit/technique_selector.py --update --PR <pr> --score <score> --technique <tech>
gh pr close <pr> --repo $GITHUB_REPOSITORY \
--comment "autor eval: $tech score=$score. Closing — evaluation artifact, not a merge candidate."
Autor PRs are evaluation artifacts, not merge candidates. Always open as draft, always close after scoring. Do not leave them open.
git add -A && git commit -m "autor: <tech> n=$(n+1) score=<score>" && git push
If elapsed > 12h since first iteration → STOP.
After each iteration, print:
[iter N] SelfRefine n=X | ET n=Y | PRM n=Z | elapsed=Thh:mm