Pipa improve operations
Skill lunchpaillola/pipa-skills/skills/pipa-improve-operations
Use when the user wants Pipa to improve how the service business runs: retrospectives, lessons, SOPs, templates, reusable processes, archive readiness, closeout learning, and operational improvements.From its SKILL.md
npx -y skills add lunchpaillola/pipa-skills --skill pipa-improve-operationsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
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SKILL.md
1.4 KB, 256 tokens by cl100k_base, as published. Nobody here has run it
Pipa Improve Operations
Turn work into a better operating system.
Use For
- Retrospectives, lessons learned, closeout learning, reusable templates, SOPs, and process improvements.
- Archive readiness, handover patterns, benefits review, and next-time changes.
- Ongoing company brain content when the intent is process learning, not Pipa configuration.
References
- Load
references/improve-operations.mdfirst. - Use
references/close*.mdfor signoff, handover, lessons, benefits, and archive readiness. - Load
references/examples/improve-operations.mdwhen an example shape helps.
Output Contract
- Lesson or improvement.
- Evidence.
- What changes next time.
- Owner and reuse location or
TBD. - Follow-ups.
Boundaries
- Company brain setup, memory permissions, or tool access goes to
pipa-manage. - Do not declare closure without signoff, handover, archive, or acceptance evidence.
Gotchas
- Do not store memory or update docs externally unless the user asks and the tool/workflow exists.
- Lessons should become a concrete process, artifact, decision, or behavior change.
- Archive and closure claims need evidence or explicit acceptance of gaps.
What ships with it: 1 file
1.0 KB alongside SKILL.md
references/
Gives 0 of the 12 instructions most operations skills give in 256 tokens
Counted across 483 of the 484 authors here whose files we hold, read 2026-08-07
- Collect monitoring data throughout the simulationin 14 of 483, across 6 files
- Set the random seed for reproducibilityin 14 of 483, across 6 files
- Validate simulations against analytical solutionsin 12 of 483, across 4 files
- Clarify goals, constraints, and inputsin 11 of 483, across 2 files
- Implement contract tests for integration pointsin 11 of 483, across 2 files
- Implement strangler fig infrastructure with API gatewayin 11 of 483, across 2 files
- Audit modernized components for security vulnerabilitiesin 11 of 483, across 2 files
- Avoid Python blocking calls in processesin 10 of 483, across 3 files
- Use resource context managers for automatic cleanupin 9 of 483, across 2 files
- Maintain consistent time unitsin 9 of 483, across 2 files
- Validate outcomes against success criteriain 8 of 483, across 1 file
- Analyze the legacy codebase for technical debtin 8 of 483, across 1 file
Said here and by no other author read
- load the improve operations reference first
- use closeout references for signoff and handover
- load examples when an example shape helps
- produce a lesson or improvement
- state what changes next time
- assign an owner and reuse location
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.