/evolve

description: Evolve skill files by integrating validated lessons from real usage

This command improves skill .md files based on lessons accumulated in the global skill lesson store.

Argument handling

The user may invoke this command with arguments:

• `/autocontext:evolve`, default: scan and evolve interactively
• `/autocontext:evolve --rollback <skill-name>`, restore from backup
• `/autocontext:evolve --export`, export lessons to JSON
• `/autocontext:evolve --import <path>`, import lessons from JSON

Parse the arguments from the user's input. If `--rollback` is present, run the rollback flow. If `--export` or `--import`, run the sync flow. Otherwise, run the default evolution flow.

Default evolution flow

1. Run the scan script to find eligible skills:

   bash "${CLAUDE_PLUGIN_ROOT}/scripts/skill-evolution/scan_eligible.sh"

2. If no skills are eligible, report that and exit.

3. Present the summary to the user using AskUserQuestion: which skill(s) to evolve? Include lesson count and average confidence per skill. Add an "All" option and a "Skip" option.

4. For each selected skill: a. Read the current skill .md file using the `find_skill_path` function:

      python3 -c "
      import sys
      sys.path.insert(0, '${CLAUDE_PLUGIN_ROOT}/scripts/skill-evolution')
      from apply_edit import find_skill_path
      path = find_skill_path('SKILL_NAME')
      print(path or 'NOT_FOUND')
      "

b. If NOT_FOUND, warn and skip. c. Read the skill file content. d. Run generate_diff to create an improved version:

      python3 -c "
      import sys, json
      sys.path.insert(0, '${CLAUDE_PLUGIN_ROOT}/scripts/skill-evolution')
      from generate_diff import generate_evolved_skill
      from store import get_eligible_lessons

      lessons = get_eligible_lessons('SKILL_NAME')
      with open('SKILL_PATH') as f:
          content = f.read()
      result = generate_evolved_skill(content, lessons)
      if result:
          print(result)
      else:
          print('GENERATION_FAILED')
      "

e. If generation failed, offer the append fallback. f. Show a diff between the original and evolved content. g. Ask the user via AskUserQuestion:

• **Accept**, apply the edit
• **Edit**, let user make manual changes first
• **Reject**, skip, lessons stay
• **Append instead**, use the fallback section

h. Apply the chosen action using apply_edit functions. i. Mark evolved lessons as folded.

Rollback flow

python3 -c "
import sys
sys.path.insert(0, '${CLAUDE_PLUGIN_ROOT}/scripts/skill-evolution')
from apply_edit import rollback
backup, restored = rollback('SKILL_NAME')
if restored:
    print(f'Restored {restored} from {backup}')
else:
    print('No backup found for SKILL_NAME')
"

Export flow

Uses `sync.py` (no inline duplication):

python3 -c "
import sys
sys.path.insert(0, '${CLAUDE_PLUGIN_ROOT}/scripts/skill-evolution')
from sync import export_all
path = export_all()
print(f'Exported to {path}')
"

Import flow

Uses `sync.py` (no inline duplication):

python3 -c "
import sys
sys.path.insert(0, '${CLAUDE_PLUGIN_ROOT}/scripts/skill-evolution')
from sync import import_lessons
summary = import_lessons('IMPORT_PATH')
for skill, counts in summary.items():
    print(f'{skill}: added {counts[\"added\"]}, merged {counts[\"merged\"]}')
"