name: skill-capture
description: Extracts valuable learnings, patterns, and workflows from conversations and persists them as reusable skill files. This skill should be used when a complex problem was solved, a valuable workflow was discovered, or the user explicitly requests to capture knowledge as a skill.
version: 1.0.0
tags:
- skills
- capture
- automation
- knowledge-management

Skill Capture

This skill extracts valuable learnings, patterns, and workflows from conversations and persists them as reusable skill files for future sessions.

When This Skill Activates

Activate when the user mentions ANY of these:

Explicit Requests

• "let's save this as a skill"
• "this workflow should be reusable"
• "capture this as a skill"
• "make this a skill"
• "turn this into a skill"
• "save this pattern"

Workflow Completion Signals

• Complex problem solved after multiple iterations
• Multi-step procedure successfully executed
• Valuable domain knowledge discovered through research
• Code pattern emerged that could benefit other projects

Learning Moments

• "this was tricky to figure out"
• "glad we finally got this working"
• "I wish I knew this earlier"
• "this should be documented"

Capture Process

Follow these 5 phases in order:

Phase 1: Identification

Review the conversation to identify capturable content:

What to Look For:

Questions to Ask:

• Is this generalizable beyond this specific project?
• Would another Claude instance benefit from this knowledge?
• Did this require multiple iterations to get right?
• Is this non-obvious procedural knowledge?

Phase 2: Destination Planning

Determine where the skill should live:

1. Check if an existing skill should be updated
   - Glob for skills/*/SKILL.md
   - Read related skills to check for overlap

2. If creating new skill:
   - Choose descriptive kebab-case name
   - Create in skills/<skill-name>/ directory

Skill vs. Rule Decision:

If it's a rule/preference, delegate to rules-capture skill instead.

Phase 3: Content Drafting

Transform conversational insights into SKILL.md format:

---
name: <skill-name>
description: <One sentence describing what the skill does and when to use it>
version: 1.0.0
tags:
  - <relevant>
  - <tags>
---

# <Skill Title>

<Brief description of the skill's purpose>

---

## When to Use

<Clear triggers for when this skill should activate>

---

## Process

<Step-by-step workflow or procedure>

---

## Examples

<Concrete examples showing the skill in action>

---

## Integration

<How this skill works with other skills, if applicable>

Phase 4: Distillation

Extract and refine the content:

1. Extract the Final Approach - Capture only what worked, not the failed attempts
2. Generalize - Remove project-specific details that don't apply broadly
3. Add Context - Explain why certain approaches work, not just what to do
4. Include Examples - Add concrete examples that demonstrate usage

Checklist:

• [ ] Removed project-specific paths and names
• [ ] Generalized any hardcoded values
• [ ] Added explanatory context for non-obvious steps
• [ ] Included both good and bad examples where helpful
• [ ] Kept language in imperative form

Phase 5: Verification

Ensure the skill is ready for use:

Quality Checks:

Validation:

# Run the package script to validate
scripts/package_skill.py skills/<skill-name>

What to Capture

Good Candidates

• Workflows that took multiple iterations to get right
• Domain knowledge that required research
• Problem-solving approaches that worked
• Code patterns that could be reused across projects
• Decision rationale for architectural choices
• Integration patterns between tools or services
• Debugging approaches for specific technologies

Anti-Patterns (Do NOT Capture)

• One-off solutions specific to a single project
• Trivial fixes or obvious patterns
• Information already documented elsewhere
• Sensitive or proprietary information
• Incomplete workflows still being refined
• Preferences without procedural value (use rules-capture instead)

Output Structure

Create two files for each skill:

SKILL.md

See Phase 3 template above. Key principles:

• Use imperative form ("Do X" not "You should do X")
• Be specific about triggers and activation conditions
• Include concrete examples
• Reference any bundled resources

plugin.json

{
  "name": "<skill-name>",
  "version": "1.0.0",
  "description": "<Same description as SKILL.md frontmatter>",
  "author": {
    "name": "Ship Shit Dev",
    "email": "[email protected]",
    "url": "https://github.com/shipshitdev"
  },
  "license": "MIT",
  "skills": "."
}

Integration

This skill works with:

Example Interaction

Context: User spent 30 minutes debugging a NestJS queue integration issue. The solution involved specific configuration patterns.

User: "This was a pain to figure out. Let's save this for next time."

Claude:

I'll capture this as a skill. Let me analyze what we learned:

Capturable Knowledge:
- NestJS Bull queue configuration pattern
- Redis connection handling for queues
- Processor registration requirements

This would make a good standalone skill or could extend `nestjs-queue-architect`.

Let me check the existing skill...
[Reads skills/nestjs-queue-architect/SKILL.md]

The existing skill covers queue setup but not this specific debugging pattern.
I'll add a new "Troubleshooting" section.

Created: skills/nestjs-queue-architect/SKILL.md (updated)
- Added troubleshooting section
- Documented Redis connection requirements
- Added common error patterns

Should I also create session documentation for this debugging session?

Activation Triggers

The skill activates on these patterns:

# Explicit capture requests
(save|capture|turn|make).*(skill|reusable|pattern)
(this should be|let's make this).*(skill|documented|reusable)

# Workflow completion signals
(finally|glad).*(working|figured|solved)
(this was|that was).*(tricky|hard|difficult|complex)
(multiple|several).*(iterations|attempts|tries)

# Learning signals
(wish I knew|should have known|next time|for future)

When this skill is active, automatically identify valuable knowledge from the conversation and offer to persist it as reusable skills for future sessions.