> Revise existing content for clarity, accuracy, and signal-to-noise ratio.
Scanned 6/6/2026
Install via CLI
openskills install Miosa-osa/canopy# /edit
> Revise existing content for clarity, accuracy, and signal-to-noise ratio.
## Usage
```
/edit <file> [--focus <clarity|accuracy|conciseness|tone>] [--for <person>]
```
## What It Does
Reads the target file, analyzes it against Signal Theory principles, and suggests or applies edits to maximize signal-to-noise ratio. Can focus on specific dimensions: clarity (remove ambiguity), accuracy (fact-check against knowledge base), conciseness (cut noise), or tone (match receiver).
## Implementation
1. **Read content** -- load the file.
2. **Analyze** -- score against the 6 encoding principles.
3. **Identify noise** -- filler, hedging, repetition, wrong structure.
4. **Suggest edits** -- specific before/after changes with rationale.
5. **Apply** (if confirmed) -- make the edits.
6. **Validate** -- re-score to confirm improvement.
## Examples
```bash
# Edit for overall quality
/edit docs/pitch-card.md
# Focus on conciseness
/edit docs/architecture/FULL-SYSTEM-ARCHITECTURE.md --focus conciseness
# Edit for a specific receiver
/edit outreach-email.md --for "Ed Honour"
```
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Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says "review this PR", "code review", "review the diff", "/review", or invokes /caveman-review. Auto-triggers when reviewing pull requests.