agentleFS
luiseimanluiseiman/dotforge/skills/capture-practice/SKILL.md

capture-practice

Skill8 starsChanged 7 months agoMITView on GitHub

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

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 7 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Keep it to 1-2 sentences max

    line 33
  2. Distinctive:

    Stop — do not create a file.

    line 39
  3. Distinctive:

    If Y or user confirms → continue to Step 1 with the proposed text as $ARGUMENTS

    line 55
  4. Distinctive:

    If n → stop, no file created

    line 56
  5. Distinctive:

    If edit or user rewrites → use the rewritten text as $ARGUMENTS, continue to Step 1

    line 57
  6. Distinctive:

    Before creating, check for existing similar practices:

    line 71
  7. Very specific:

    Search $DOTFORGE_DIR/practices/active/ by title or similar tags

    line 72
  8. Very specific:

    Search $DOTFORGE_DIR/practices/inbox/ by similar title

    line 73
  9. Distinctive:

    If duplicate found → inform the user and ask: update existing or create new?

    line 74
  10. Very specific:

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

    line 78

≈ “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

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.

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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.