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Capture practice

Skill luiseiman/dotforge/skills/capture-practice

Configuration governance for Claude Code. Bootstrap, audit, sync, and evolve .claude/ across projects.

Install
npx -y skills add luiseiman/dotforge --skill capture-practice

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Captures an insight or practice discovered during work and registers it in the dotforge practices/inbox.

SKILL.md

3.3 KB, as published. Nobody here has run it

Capture Practice

Register an insight, pattern, or lesson learned in the dotforge inbox.

Input routing

If $ARGUMENTS is empty → auto-detect mode (Step 0). If $ARGUMENTS has content → skip to Step 1.


Step 0: Auto-detect (only when $ARGUMENTS is empty)

Analyze the recent conversation to identify the most generalizable insight from this session.

Detection signals (in priority order)

  1. Workaround discovered — the obvious approach failed and an alternative was used
  2. Multi-attempt bug — a fix required more than one attempt or root cause was non-obvious
  3. Architectural decision with trade-offs — two+ alternatives were considered, one chosen with reasoning
  4. Non-obvious tool/API/flag behavior — a parameter, edge case, or behavior was surprising
  5. Missing rule — the session revealed a gap in .claude/rules/ or CLAUDE.md that would have prevented the problem

Extraction rules

  • Extract the single most generalizable insight — not session notes, not a summary of everything done
  • Formulate it as a reusable principle: "When X, do Y because Z" or "Never do X — use Y instead"
  • Keep it to 1-2 sentences max
  • Ignore: trivial tasks, first-attempt successes, routine edits

If no signal is present

Respond: "No generalizable insight detected in this session. If you have something specific in mind, run /cap \"description\"." Stop — do not create a file.

Propose and confirm

Show the proposed insight and ask for confirmation before proceeding:

Proposed practice:
"{{one-line insight}}"

Tags: {{inferred tags}}
Project: {{current project name}}

Save this? [Y/n/edit]
  • If Y or user confirms → continue to Step 1 with the proposed text as $ARGUMENTS
  • If n → stop, no file created
  • If edit or user rewrites → use the rewritten text as $ARGUMENTS, continue to Step 1

Step 1: Parse the insight

From $ARGUMENTS (provided or confirmed from Step 0), extract:

  • What: the practice or pattern
  • Why: evidence or context (current project, error that motivated it)
  • Impact: which dotforge files could change
  • Tags: categorization (hooks, rules, prompting, security, stack-specific, etc.)

Step 2: Validate duplicates

Before creating, check for existing similar practices:

  1. Search $DOTFORGE_DIR/practices/active/ by title or similar tags
  2. Search $DOTFORGE_DIR/practices/inbox/ by similar title
  3. If duplicate found → inform the user and ask: update existing or create new?

Step 3: Generate file

Create file in $DOTFORGE_DIR/practices/inbox/ with format:

---
id: practice-{{YYYY-MM-DD}}-{{slug}}
title: {{short title}}
source: "own experience"
source_type: experience
discovered: {{YYYY-MM-DD}}
status: inbox
tags: [{{tags}}]
tested_in: {{current project or null}}
incorporated_in: []
replaced_by: null
---

## Description
{{what the practice states}}

## Evidence
{{why it works, discovery context}}

## Impact on dotforge
{{which files would need to change}}

## Decision
Pending

File name: {{YYYY-MM-DD}}-{{slug}}.md

Step 4: Confirm

Show:

Practice captured: {{title}}
File: practices/inbox/{{file}}
Tags: {{tags}}

Next step: /forge update evaluates pending practices from inbox.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.