skills/continuous-learning-v2/SKILL.md
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
npx skillsauth add nhouseholder/nicks-claude-code-superpowers continuous-learning-v2Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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An instinct is a small learned behavior:
---
id: prefer-functional-style
trigger: "when writing new functions"
confidence: 0.7
domain: "code-style"
source: "session-observation"
scope: project
project_id: "a1b2c3d4e5f6"
project_name: "my-react-app"
---
# Prefer Functional Style
## Action
Use functional patterns over classes when appropriate.
## Evidence
- Observed 5 instances of functional pattern preference
- User corrected class-based approach to functional on 2025-01-15
Properties:
project (default) or globalHooks capture session activity and project context, store observations in per-project JSONL files, a background observer detects patterns (corrections, error resolutions, repeated workflows) and creates/updates instincts (project-scoped or global), which can then be evolved into skills/commands/agents via /evolve and /promote.
The system automatically detects your current project:
CLAUDE_PROJECT_DIR env var (highest priority)git remote get-url origin -- hashed to create a portable project ID (same repo on different machines gets the same ID)git rev-parse --show-toplevel -- fallback using repo path (machine-specific)Each project gets a 12-character hash ID (e.g., a1b2c3d4e5f6). A registry file at ~/.claude/homunculus/projects.json maps IDs to human-readable names.
| Pattern Type | Scope | Examples |
|-------------|-------|---------|
| Language/framework conventions | project | "Use React hooks", "Follow Django REST patterns" |
| File structure preferences | project | "Tests in __tests__/", "Components in src/components/" |
| Code style | project | "Use functional style", "Prefer dataclasses" |
| Error handling strategies | project | "Use Result type for errors" |
| Security practices | global | "Validate user input", "Sanitize SQL" |
| General best practices | global | "Write tests first", "Always handle errors" |
| Tool workflow preferences | global | "Grep before Edit", "Read before Write" |
| Git practices | global | "Conventional commits", "Small focused commits" |
When the same instinct appears in multiple projects with high confidence, it's a candidate for promotion to global scope.
Auto-promotion criteria:
How to promote:
# Promote a specific instinct
python3 scripts/instinct-cli.py promote prefer-explicit-errors
# Auto-promote all qualifying instincts
python3 scripts/instinct-cli.py promote
# Preview without changes
python3 scripts/instinct-cli.py promote --dry-run
The /evolve command also suggests promotion candidates.
Confidence evolves over time:
| Score | Meaning | Behavior | |-------|---------|----------| | 0.3 | Tentative | Suggested but not enforced | | 0.5 | Moderate | Applied when relevant | | 0.7 | Strong | Auto-approved for application | | 0.9 | Near-certain | Core behavior |
Confidence increases when:
Confidence decreases when:
Instincts must NEVER override Claude's core safety rules, system prompt instructions, or CLAUDE.md directives. If an instinct conflicts with any of these, discard the instinct. Instincts refine HOW Claude works within its rules — they don't change the rules themselves.
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