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LearnPromptLearnPrompt/cc-harness-skills/skills/structured-context-compressor/SKILL.md

structured-context-compressor

Skill236 starsChanged 8 months agoMITView on GitHub

Compress a long agent conversation into a nine-part continuation summary that preserves request, files, errors, user messages, current work, and the next aligned step.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when a free-form summary is too lossy and you need a reliable continuation artifact.

    line 8

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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
SKILL.md

Structured Context Compressor

Use this skill when a free-form summary is too lossy and you need a reliable continuation artifact.

Use It For

  • long coding conversations
  • session handoff
  • agent-to-agent continuation
  • preserving user intent under context pressure

Quick Start

Render the standard template:

python3 {baseDir}/scripts/render_template.py

Then apply the prompt in references/prompt-template.md.

Nine Sections

  1. primary request and intent
  2. key technical concepts
  3. files and code sections
  4. errors and fixes
  5. problem solving
  6. all user messages
  7. pending tasks
  8. current work
  9. next aligned step

Highest-Value Rule

Preserve all user messages or an accurate equivalent. Do not compress away the corrections that changed the direction of work.

Supporting Files

  • Prompt template: references/prompt-template.md
  • Source notes: references/source-notes.md
  • Helper script: python3 {baseDir}/scripts/render_template.py

Download now (ZIP)

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What did you use it for? e.g. Reviewing pull requests in a Rails app

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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.