Claude Code Skills Marketplace: plugins, skills for ADR-driven development, DevOps automation, ClickHouse management, semantic versioning, and productivity workflows
git clone https://github.com/terrylica/cc-skills.gitcc-skills is a curated marketplace of plugins designed to extend Claude Code with advanced automation capabilities. The collection includes 36+ verified plugins organized across categories like DevOps, productivity, development, and AI research. Key offerings include autoloop for self-revising autonomous work with dynamic pacing, devops-tools for ClickHouse and Cloudflare management, agent-reach for multi-platform web search across 15+ services, and gh-tools for GitHub workflow automation. Built on a validated plugin architecture, cc-skills enables developers and AI agents to automate complex workflows, manage infrastructure, conduct research, and maintain productivity systems through composable, well-documented skill modules.
[{"step":"Prepare your skill files","action":"Ensure your skill directory contains: 1) A `metadata.json` with semantic versioning (e.g., 'version': '1.0.0'), 2) ADR documents in `/docs/adr/`, 3) A `requirements.txt` listing dependencies like `clickhouse-driver>=23.8`.","tip":"Use `claude skills validate --dir ./my-skill` to catch versioning or dependency issues before packaging."},{"step":"Generate ClickHouse-compatible metadata","action":"Run `claude skills generate-schema --output clickhouse_schema.sql` to create a table for tracking skill versions and dependencies in your ClickHouse instance.","tip":"For production, use `ENGINE = ReplicatedMergeTree` in the schema to ensure high availability."},{"step":"Package the skill","action":"Execute `claude skills package --dir ./my-skill --output my-skill-v1.0.0.tar.gz`. Include a `README.md` with installation instructions and ADR references.","tip":"Verify the package contents with `tar -tvf my-skill-v1.0.0.tar.gz` before publishing."},{"step":"Publish to the marketplace","action":"Run `claude skills publish --file my-skill-v1.0.0.tar.gz --description \"[Your skill description here]\"`. Monitor the Data Marketplace dashboard for approval status.","tip":"Use the `--dry-run` flag to preview the submission without publishing: `claude skills publish --file my-skill-v1.0.0.tar.gz --dry-run`."},{"step":"Monitor adoption and iterate","action":"After publication, check the Data Marketplace dashboard for download metrics and user feedback. Use this data to plan the next version (e.g., `v1.1.0` for new features).","tip":"Set up a ClickHouse materialized view to aggregate skill usage data: `CREATE MATERIALIZED VIEW skill_usage_mv ENGINE = SummingMergeTree() ORDER BY (skill_id, date) AS SELECT skill_id, toDate(created_at) AS date, count() AS downloads FROM skills_log GROUP BY skill_id, date`."}]
Automating long-horizon autonomous agent tasks with self-revising LOOP_CONTRACT patterns
Managing DevOps infrastructure including ClickHouse databases and Cloudflare Workers
Discovering and aggregating content across Twitter, Reddit, YouTube, GitHub, and RSS feeds
Automating GitHub workflows with intelligent link validation and issue creation
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/terrylica/cc-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Automate the deployment of [SKILL_NAME] to the Claude Code Skills Marketplace. Follow these steps: 1) Validate the skill's compatibility with ADR-driven development principles, 2) Ensure semantic versioning compliance (e.g., v1.2.3), 3) Generate a ClickHouse-compatible schema for metadata storage, 4) Package the skill as a plugin with [REQUIRED_DEPENDENCIES], and 5) Publish to the marketplace with a description emphasizing its DevOps automation capabilities. Include a changelog entry for the version bump.
### Skill Deployment Report: 'clickhouse-query-optimizer' v2.1.0
**Validation Results:**
- ADR Compliance: ✅ All 3 Architectural Decision Records aligned with skill logic (e.g., ADR-004 for query caching strategy adopted).
- Semantic Versioning: ✅ Bump from v2.0.0 to v2.1.0 (minor version for new optimization feature).
- ClickHouse Schema:**
```sql
CREATE TABLE IF NOT EXISTS skills_metadata (
skill_id UUID PRIMARY KEY,
version String,
dependencies Array(String),
adr_references Array(String),
last_updated DateTime DEFAULT now()
) ENGINE = MergeTree() ORDER BY skill_id;
```
**Packaging Output:**
- Plugin bundle generated: `clickhouse-query-optimizer-2.1.0.tar.gz`
- Dependencies verified: `clickhouse-driver>=23.8`, `pydantic>=2.0`
- DevOps hooks included: Pre-deploy schema validation, post-deploy performance benchmarking
**Marketplace Submission:**
- Title: 'ClickHouse Query Optimizer - DevOps Automation'
- Description: 'Reduces query execution time by 40% via automated index recommendations and partition pruning. Integrates with CI/CD pipelines for schema migrations.'
- Changelog Entry: '- Added adaptive query caching (ADR-005) - Resolves #1243 for partition pruning edge cases'
**Next Steps:**
1. Upload to marketplace via `claude skills publish --file clickhouse-query-optimizer-2.1.0.tar.gz`
2. Monitor adoption metrics in Data Marketplace dashboard
3. Schedule QA review for version 2.2.0 (planned for next sprint)AI assistant built for thoughtful, nuanced conversation
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