Ssm repo evolve

Autonomously evolve this skill-sommelier repo by discovering trending skills, studying them, and integrating valuable ideas. Run in a loop until the user wants to stop.

When to Use

• Periodic manual maintenance to keep the repo current with the skills ecosystem
• Looking for inspiration from trending skills
• Bulk-improving existing skills based on community patterns

Note: This skill runs manually on demand. For automated weekly discovery, see ssm-skill-weekly-discover which uses a pure-bash GitHub Action to create recommendation issues (no Claude API needed in CI).

When NOT to Use

• Targeted skill creation — use ss-skill-craft instead
• Just browsing skills without intent to change the repo — use ss-skill-discover

Step 1 — Read repo context

1. Use the current repo root as SYNC_REPO and set SKILLS_DIR to $SYNC_REPO/skills/.
2. List all current skills in $SKILLS_DIR — note their names, descriptions (from SKILL.md frontmatter), and any supporting files (scripts/, references/).
3. Read the repo's CLAUDE.md to understand current conventions and architecture.

Step 2 — Discover trending skills

Run the shared discovery pipeline. Do not re-implement search/fetch/filter inline — skills/ss-skill-discover/scripts/discover.sh is the single source of truth (shared with ss-skill-discover and the weekly cron):

bash skills/ss-skill-discover/scripts/discover.sh \
  --profile .github/user-profile.md \
  --limit 30 \
  --installed-dir skills \
  --exclude-repo JasonLo/skill-sommelier \
  > /tmp/evolve-candidates.json

The script handles code + topic search, license filtering (permissive only), SKILL.md fetch, frontmatter parse, dedupe, installed-skill exclusion, and ranking by (relevance, stars, pushed_at). Each candidate in the JSON has {name, description, repo, path, stars, pushed_at, license, relevance, age_label}.

Use the resulting JSON as the input to Step 3.

Step 3 — Deep study and diff against existing skills

For each trending skill, classify it as new (no equivalent in repo) or overlapping (similar to an existing skill):

3a — New skill candidates

For skills with no equivalent in the repo:

1. Fetch the full SKILL.md via gh api (raw content, base64-decode).
2. Study implementation: frontmatter, phases, supporting files.
3. Assess fit: does it complement the existing collection?

3b — Diff overlapping skills against existing ones

For skills that overlap with an existing repo skill:

1. Fetch the external SKILL.md content.
2. Read the corresponding local skill's SKILL.md.
3. Produce a structured diff comparing the two side-by-side across these dimensions:

Dimension	Local skill	External skill	Gap
Scan/audit sections	What it covers	What it covers	Missing sections or techniques
Phases/steps	Count + names	Count + names	Missing phases or exit criteria
Tool usage	Listed tools	Listed tools	Tools used externally but not locally
Trigger phrases	Description keywords	Description keywords	Missing trigger terms
Supporting files	scripts/, references/	scripts/, references/	Missing reference material

4. For each gap found, draft a specific, line-level enhancement — not just "adopt X pattern" but the actual content to add/change.

Step 4 — Analyze and plan improvements

Based on what was discovered, identify improvements in these categories:

1. New skills to add — trending skills that would be valuable in this repo, adapted to fit the repo's conventions.
2. Existing skill enhancements — specific line-level changes derived from the Step 3b diff. Each enhancement must include: the target file, the section to modify, and the proposed content.
3. Repo-level improvements — patterns seen across popular skills that suggest changes to CLAUDE.md, directory structure, or conventions.

Present a summary table to the user:

Category	Item	Source	Rationale
New skill	...	repo/skill	Why it fits
Enhancement	target-skill: section	repo/skill	Specific gap from diff
Repo improvement	...	repo/skill	What pattern it follows

Step 5 — Decide and act

For each proposed improvement:

1. Low-risk changes (new skills, adding scripts/references to existing skills): proceed automatically. Create the skill directory, write the SKILL.md, and add any supporting files.
2. Medium-risk changes (modifying existing SKILL.md instructions, changing CLAUDE.md conventions): show the proposed diff to the user and ask for approval before applying.
3. High-risk changes (deleting skills, restructuring the repo, changing the plugin configuration): stop and ask the user for a decision. Do not proceed without explicit approval.

After making changes:

• Run ssm-skill-validate to verify frontmatter and conventions are consistent.
• Commit and push the changes (ask the user before pushing).

Step 6 — Loop

After completing one cycle:

1. Summarize what was done in this iteration (skills added, enhancements made, things skipped).
2. Ask the user: "Continue evolving? (yes/no)"
   • If yes or no response after a reasonable pause: go back to Step 2 with fresh discovery.
   • If no: stop and present a final summary of all changes made across all iterations.
   • If the user gives other instructions (e.g., "focus on X", "skip Y"): incorporate the feedback and loop back to Step 2.

Guardrails

• Never delete existing skills without explicit user approval.
• Never modify the plugin distribution method without asking.
• After adding a new feature or skill, commit and push (ask the user before pushing).
• If a discovered skill conflicts with an existing one, always ask before proceeding.
• Keep all new skills self-contained per repo conventions (SKILL.md + optional scripts/ and references/).
• Respect the YAML frontmatter format: name and description are required fields.