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ce-riffrec-feedback-analysis

An AI agent skill from EveryInc/compound-engineering-plugin, scored 56 out of 100 by code.

56/ 100C

Code score by group

  • Spec20/20
  • Description12/20
  • Procedure5/15
  • Done criteria0/15
  • Resources6/10
  • Scripts3/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Analyze recorded product feedback into evidence for bugs and requirements. Use when a Riffrec capture or other screen, voice, or notes artifact needs interpretation. Use for Riffrec setup, capture, or sharing help when no recording exists yet.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
EveryInc/compound-engineering-plugin
Folder
skills/ce-riffrec-feedback-analysis
License
MIT
GitHub stars
26,039
SKILL.md lines
34
Other files
6

Add ce-riffrec-feedback-analysis to your agent

npx skills add EveryInc/compound-engineering-plugin --skill ce-riffrec-feedback-analysis

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

More skills from EveryInc/compound-engineering-plugin

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  3. ce-optimize

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  4. ce-simplify-code

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  5. ce-test-browser

    Run browser tests for pages affected by the current branch or PR. Use when asked to run or check browser tests for the current change.

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  6. ce-worktree

    Set up isolated git worktrees — create a new branch for fresh work, or attach a worktree to an existing branch, PR, or commit. Use when starting isolated work or isolating an exis…

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  7. ce-debug

    Diagnosis loop for bugs and failing behavior. Use when asked to debug or fix failing or slow behavior.

    69C
  8. ce-commit-push-pr

    Commit, push, and open a PR. Use when asked to ship/open a PR, or for PR-description-only flows like writing, rewriting, or describing a PR body.

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All skills in EveryInc/compound-engineering-plugin

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.