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sharing-learnings Skill

AI Agent SkillPythonOpen source

How to record project learnings so that later-phase workers and future agent runs can consume them. Published by microsoft in github-copilot-modernization.

Decision snapshot

Is this a fit?

Best for

Developers using github-copilot-modernization, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

3 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is sharing-learnings Skill?

How to record project learnings so that later-phase workers and future agent runs can consume them. Published by microsoft in github-copilot-modernization. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
36/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using github-copilot-modernization

Declared skill metadata

  • Source file: plugins/github-copilot-modernization/skills/sharing-learnings/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use sharing-learnings Skill

  • Use it for developers using github-copilot-modernization.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/github-copilot-modernization
  • Skill file: plugins/github-copilot-modernization/skills/sharing-learnings/SKILL.md

What it does

How to record project learnings so that later-phase workers and future agent runs can consume them.

Skill instructions

Sharing Learnings This skill defines how a multi-agent run captures knowledge and feeds it back into later phases and future runs. | Product | Path | Scope | Audience | |---|---|---|---| | Learnings | {{BASEPATH}}/learnings/<role/<slug.md (git-tracked) | persistent across runs | later-phase agents in same run + future agents on this repo + humans | Invoked by every worker during Preflight Step 2 (consume prior learnings) and Completion Phase (produce new learnings). --- 1. Directory Layout {{BASEPATH}}/ └── learnings/<role/<slug.md ← per-topic, append-friendly, git-tracked The directory tree + filename is the index. Each file's first three lines (H1 + blank + one-sentence description) are its scannable metadata. No separate index file needed. --- 2. Consuming Learnings (Preflight Step 2) 1. listdir {{BASEPATH}}/learnings/<your-role/ (and any cross-cutting roles relevant to your task). 2. Read only the first 3 lines of each file (H1 + blank + one-sentence description). Decide relevance

Verified compatibility and discovery

Frequently asked questions

What is sharing-learnings?

sharing-learnings is a open-source AI agent skill with Copy skill directory. How to record project learnings so that later-phase workers and future agent runs can consume them.

Who is sharing-learnings best for?

sharing-learnings is best for reusing agent instructions, scripts, and references.

How do I install sharing-learnings?

Install or run sharing-learnings using Copy skill directory. Check sharing-learnings for the latest setup command.

Is sharing-learnings actively maintained?

sharing-learnings may need a closer maintenance check before production use.

Share:

Stars
27
Forks
7
Last commit
3 months ago
Last verified
Aug 31, 2026
Metadata fetched
Aug 31, 2026
Repository age
7 months
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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