System Awareness - The Self-Evolving Skill Manager Skill

System Awareness - The Self-Evolving Skill Manager

Meta-Skill: This skill manages all other skills. It observes gaps, proposes new capabilities, and helps the system evolve.

Quick Start

1. Log a Gap

python scripts/gap_logger.py "I need to analyze ECG waveforms from images"

python scripts/gap_logger.py \
  --request "Analyze ECG images for abnormalities" \
  --context "User uploaded 12-lead ECG, wanted automated interpretation" \
  --category "medical-imaging" \
  --urgency "high"

2. Analyze Gaps

python scripts/gap_analyzer.py --list      # List all gaps
python scripts/gap_analyzer.py --analyze   # Analyze patterns
python scripts/gap_analyzer.py --report    # Generate priority report

3. Build a Skill

# Propose from a logged gap
python scripts/skill_proposer.py --gap-id "gap_2024_001"

# Build from a proposal (one command does everything)
python scripts/skill_builder.py --proposal ecg-analyzer-proposal.md

# Or build directly from a gap (fast path)
python scripts/skill_builder.py --from-gap gap_xxxx

# Or build directly with name and purpose
python scripts/skill_builder.py --name "ecg-analyzer" --purpose "Analyze ECG images"

Gap → Skill Pipeline

1. GAP DETECTED
   └─► gap_logger.py → gap-log.json

2. GAPS ANALYZED
   └─► gap_analyzer.py → patterns, priorities

3. SKILL PROPOSED
   └─► skill_proposer.py → skill-templates/*.md

4. HUMAN REVIEW
   └─► Approve / reject / modify proposal

5. SKILL BUILT ★
   └─► skill_builder.py → skills/[category]/[name]/
       ├── Creates SKILL.md
       ├── Creates scripts/ & references/
       ├── Marks gap as resolved
       └── Archives proposal

6. SYSTEM SYNCED (auto-runs)
   └─► sync_skills.py → capability-registry.json

7. CONTEXT UPDATED (auto-runs)
   └─► generate_context.py → CLAUDE.md, GEMINI.md, AGENTS.md

8. SKILL AVAILABLE ✓
   └─► Ready to use in next conversation

Approval Checklist (Step 4)

Before approving a new skill:

[ ] Frequency: Is this needed often enough?
[ ] Impact: Does it unblock important workflows?
[ ] Feasibility: Can we actually build this?
[ ] Overlap: Does an existing skill already do this?
[ ] Maintenance: Can we keep this updated?

Validation & Error Recovery

After each major step, verify before proceeding:

| Step | Verify | If it fails | |------|--------|-------------| | sync_skills.py --update | Check registry entry count increased | Re-run with --dry-run to inspect conflicts; resolve duplicate IDs manually | | generate_context.py --update | Confirm AUTO-GENERATED markers are present in target files | Ensure markers exist:  …  | | skill_builder.py | Validate new SKILL.md parses correctly | Check frontmatter for required name/description fields; re-run builder | | Registry integrity | Run python scripts/registry_updater.py --stats | If count anomaly, diff against previous backup in data/backups/ |

Sync Architecture

Context files are rebuilt from a single source of truth:

skills/cardiology/*   skills/scientific/*  ...
        └──────────────────┬───────────────┘
                           ▼
                   sync_skills.py
                           ▼
             capability-registry.json
                           ▼
               generate_context.py
                           ▼
        CLAUDE.md   GEMINI.md   AGENTS.md   SKILL-CATALOG.md

Sync Commands

# Discover new skills
python scripts/sync_skills.py              # Report only (dry run)
python scripts/sync_skills.py --update     # Add to registry

# Regenerate context files
python scripts/generate_context.py --preview   # Preview changes
python scripts/generate_context.py --update    # Apply to all context files

# Full pipeline (run after adding any new skill)
python scripts/sync_skills.py --update && python scripts/generate_context.py --update

Context files must contain these markers for auto-update:

<!-- AUTO-GENERATED SKILLS START -->
... skills content here ...
<!-- AUTO-GENERATED SKILLS END -->

When to Run

After adding a new skill: Run full pipeline
Weekly maintenance: sync_skills.py to check for drift
Before major sessions: Ensure registry is current

Gap Detection (For Claude)

Log a gap whenever you encounter an inability, a missing capability, a pointer to an external tool, or repeated user frustration with the same task. When logging, note it in the response:

📋 **Gap Logged**: [brief description]
Category: [category] | Urgency: [low/medium/high]

Review gaps with: `python scripts/gap_analyzer.py --list`

For full JSON schema, proposal template format, and gap pattern examples, see:

references/json-schemas.md — gap-log.json, capability-registry.json, skill-backlog.json schemas
references/proposal-template.md — new skill proposal format
references/gap-patterns.md — common gap pattern recognition
references/skill-anatomy.md — what makes a good skill

Commands Reference

# Gap Management
python scripts/gap_logger.py "description"        # Log a new gap
python scripts/gap_analyzer.py --list             # List all gaps
python scripts/gap_analyzer.py --analyze          # Analyze patterns
python scripts/gap_analyzer.py --report           # Generate priority report

# Skill Proposals & Building
python scripts/skill_proposer.py --gap-id "id"    # Propose from gap
python scripts/skill_proposer.py --interactive    # Interactive proposal builder
python scripts/skill_builder.py --list-proposals  # See pending proposals
python scripts/skill_builder.py --list-gaps       # See open gaps
python scripts/skill_builder.py --proposal FILE   # Build from proposal
python scripts/skill_builder.py --from-gap ID     # Build from gap (fast path)
python scripts/skill_builder.py --name X --purpose Y  # Build directly
python scripts/skill_builder.py --no-sync         # Skip auto-sync

# Registry
python scripts/registry_updater.py --scan         # Scan for new skills
python scripts/registry_updater.py --stats        # Show usage statistics
python scripts/registry_updater.py --unused       # Find unused skills

Agent Skills: System Awareness - The Self-Evolving Skill Manager

Install this agent skill to your local

Skill Files