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pskoettpskoett/pmx-canvas/.github/copilot-instructions.md

pmx-canvas

Copilot instructions30 starsChanged 9 days agoMITView on GitHub

Before changing anything a person sees (styles, chrome, node renderers, Home, edges), follow the Design section of AGENTS.md: build to the drawings in docs/design/ per the guide and build plan in docs/design.md. This repo ships an agent-facing skill pipeline under .agents/skills/, .claude/skills/, and .opencode/skills/. After solving non-obvious issues, consider logging to .learnings/ using the self-improvement skill format. Promote broadly reusable patterns into CLAUDE.md, AGENTS.md, or this file when they should guide future sessions.

The file

We split this copilot-instructions.md into the rules it gives an agent

5 rules. About 0 are common, 0 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Before changing anything a person sees (styles, chrome, node renderers, Home, edges), follow the Design section of AGENTS.md: build to the …

    line 5
  2. Very specific:

    Use skill-pipeline to classify coding tasks and route them through the right depth.

    line 13
  3. Very specific:

    Use learning-aggregator and eval-creator for cross-session improvement loops.

    line 15
  4. Very specific:

    Use the *-ci variants for headless CI workflows only.

    line 16
  5. Very specific:

    After solving non-obvious issues, consider logging to .learnings/ using the self-improvement skill format.

    line 20

≈ “Common” is an estimate: at least 1 in 5 of the 3,779 Copilot instructions files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
copilot-instructions.md

Copilot Instructions

Design

Before changing anything a person sees (styles, chrome, node renderers, Home, edges), follow the Design section of AGENTS.md: build to the drawings in docs/design/ per the guide and build plan in docs/design.md.

Agent Skill Pipeline

This repo ships an agent-facing skill pipeline under .agents/skills/, .claude/skills/, and .opencode/skills/.

  • Use skill-pipeline to classify coding tasks and route them through the right depth.
  • For larger implementation work, prefer the pipeline of plan-interview, intent-framed-agent, context-surfing, verify-gate, simplify-and-harden, and self-improvement.
  • Use learning-aggregator and eval-creator for cross-session improvement loops.
  • Use the *-ci variants for headless CI workflows only.

Learnings

After solving non-obvious issues, consider logging to .learnings/ using the self-improvement skill format.

  • Corrections and best practices: .learnings/LEARNINGS.md
  • Failures and debugging outcomes: .learnings/ERRORS.md
  • Missing capabilities: .learnings/FEATURE_REQUESTS.md

Promote broadly reusable patterns into CLAUDE.md, AGENTS.md, or this file when they should guide future sessions.

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.