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Run pi operations

Skill allenlee0430/allenlee-lab-skills/.claude/skills/run-pi-operations

Six Claude Code skills for running a research lab: grant writing, manuscript revision, literature scouting, file triage, reimbursement tracking, and PI operations. Install into ~/.claude/skills/.

Install
npx -y skills add allenlee0430/allenlee-lab-skills --skill run-pi-operations

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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Support Bowen Li's recurring PI and lab-management work, including trainee one-on-ones, group meetings, recommendation letters, onboarding, teaching, committee preparation, hiring, seminar decks, collaboration follow-ups, and lab communications. Use when creating or coordinating operational artifacts for the Li lab rather than scientific manuscripts or grants.

SKILL.md

1.4 KB, 186 tokens by cl100k_base, as published. Nobody here has run it

Run PI operations

  1. Identify audience, decision, deadline, owner, and source artifacts.
  2. Reuse the newest approved template or prior example from Desktop, Downloads, or Documents.
  3. For recommendation letters, require the target, candidate CV, relationship, concrete contributions, comparative evidence, and deadline. Never invent achievements.
  4. For trainee reviews, separate scientific progress, decisions needed, blockers, commitments, career development, and next checkpoint.
  5. For group meetings, build an agenda that surfaces decisions and cross-project dependencies, not only status updates.
  6. For teaching, align learning objectives, assessment items, and lecture content; check difficulty and ambiguity.
  7. Treat HR, health, performance, immigration, and conflict matters as confidential. Minimize copied personal data.
  8. Deliver the artifact plus owners and dated next actions.

Read references/pi-cadence.md when designing recurring operating rhythms.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.