Compound Learnings

Transform ephemeral session learnings into permanent, compounding capabilities.

Overview

This skill analyzes accumulated learnings from past sessions, detects recurring patterns (appearing in 3+ sessions), and generates proposals for new rules, skills, or hooks. User approval is REQUIRED before creating any permanent artifacts.

Core Principle: The system improves itself over time by learning from successes and failures.

When to Use

• "What should I learn from recent sessions?"
• "Improve my setup based on recent work"
• "Turn learnings into skills/rules"
• "What patterns should become permanent?"
• "Compound my learnings"
• After completing a multi-session feature

When NOT to Use

• Fewer than 3 learning files exist (insufficient data)
• Looking for a specific past learning (use artifact search)
• First session on a new project (no history yet)

Process

Step 1: Gather Learnings

# List learnings (most recent first)
ls -t $PROJECT_ROOT/.ring/cache/learnings/*.md 2>/dev/null | head -20

# Count total learnings
ls $PROJECT_ROOT/.ring/cache/learnings/*.md 2>/dev/null | wc -l

If fewer than 3 files: STOP. Insufficient data for pattern detection.

Read the most recent 5-10 files for analysis.

Step 2: Extract and Consolidate Patterns

For each learnings file, extract entries from:

Consolidate similar patterns before counting:

Use the most general formulation.

Step 3: Detect Recurring Patterns

Signal thresholds:

Only patterns appearing in 3+ DIFFERENT sessions qualify for proposals.

Step 4: Categorize Patterns

For each qualifying pattern, determine artifact type:

Is it a sequence of commands/steps?
  → YES → SKILL (executable process)
  → NO ↓

Should it run automatically on an event?
  → YES → HOOK (SessionEnd, PostToolUse, etc.)
  → NO ↓

Is it "when X, do Y" or "never do X"?
  → YES → RULE (behavioral heuristic)
  → NO → Skip (not worth capturing)

Examples:

Step 5: Generate Proposals

Present each proposal in this format:

---
## Pattern: [Generalized Name]

**Signal:** [N] sessions ([list session IDs])

**Category:** [rule / skill / hook]

**Rationale:** [Why this artifact type, why worth creating]

**Draft Content:**
[Preview of what would be created]

**Target Location:** `.ring/generated/rules/[name].md` or `.ring/generated/skills/[name]/SKILL.md`

**Your Action:** [APPROVE] / [REJECT] / [MODIFY]

---

Step 6: WAIT FOR USER APPROVAL

CRITICAL: DO NOT create any files without explicit user approval.

User must explicitly say:

• "Approve" or "Create it" → Proceed to create
• "Reject" or "Skip" → Mark as rejected, do not create
• "Modify" → User provides changes, then re-propose

NEVER assume approval. NEVER create without explicit consent.

Step 7: Create Approved Artifacts

Before Creating Any Artifact:

Ensure the target directories exist:

mkdir -p $PROJECT_ROOT/.ring/generated/rules
mkdir -p $PROJECT_ROOT/.ring/generated/skills
mkdir -p $PROJECT_ROOT/.ring/generated/hooks

For Rules:

Create file at .ring/generated/rules/<slug>.md with:

• Rule name and context
• Pattern description
• DO / DON'T sections
• Source sessions

For Skills:

Create directory .ring/generated/skills/<slug>/ with SKILL.md containing:

• YAML frontmatter (name, description)
• Overview (what it does)
• When to Use (triggers)
• When NOT to Use
• Step-by-step process
• Source sessions

Note: Generated skills are project-local. To make them discoverable, add to your project's CLAUDE.md:

## Project-Specific Skills
See `.ring/generated/skills/` for learnings-based skills.

For Hooks:

Create in .ring/generated/hooks/<name>.sh following Ring's hook patterns. Register in project's .claude/hooks.json (not plugin's hooks.json).

Step 8: Archive Processed Learnings

After creating artifacts, move processed learnings:

# Create archive directory
mkdir -p $PROJECT_ROOT/.ring/cache/learnings/archived

# Move processed files (preserving them for reference)
mv $PROJECT_ROOT/.ring/cache/learnings/2025-*.md $PROJECT_ROOT/.ring/cache/learnings/archived/

Step 9: Summary Report

## Compounding Complete

**Learnings Analyzed:** [N] sessions
**Patterns Found:** [M]
**Artifacts Created:** [K]

### Created:
- Rule: `explicit-paths.md` - Always use explicit file paths
- Skill: `systematic-debugging` - Step-by-step debugging workflow

### Skipped (insufficient signal):
- "Pattern X" (2 occurrences - below threshold)

### Rejected by User:
- "Pattern Y" - User chose not to create

**Your setup is now permanently improved.**

Quality Checks

Before creating any artifact:

1. Is it general enough? Would it apply in other projects?
2. Is it specific enough? Does it give concrete guidance?
3. Does it already exist? Check .ring/generated/rules/ and .ring/generated/skills/ first
4. Is it the right type? Sequences → skills, heuristics → rules

Common Mistakes

Files Reference

Project-local data (per-project):

• Learnings input: .ring/cache/learnings/*.md
• Proposals: .ring/cache/proposals/pending.json
• History: .ring/cache/proposals/history.json
• Generated rules: .ring/generated/rules/<name>.md
• Generated skills: .ring/generated/skills/<name>/SKILL.md
• Generated hooks: .ring/generated/hooks/<name>.sh

Plugin code (shared, read-only):

• Library: default/lib/compound_learnings/
• Skill: default/skills/compound-learnings/SKILL.md
• Command: default/commands/compound-learnings.md