cc-skills

Consult external AI council (Gemini 3.5 Flash, Codex, Qwen, GLM-5.2, Kimi) for thorough reviews and consensus-driven decisions. Use ONLY when explicitly invoked with "/council" or when user says "consult the council", "invoke council", or "council review". Do NOT auto-trigger on generic phrases like "thorough review".

PR babysitter: monitors CI status, auto-rebases when behind, auto-fixes CI where possible, delegates review comment handling to dlc:pr-check, and re-requests review after fixes. Designed for /loop usage with Remote Control.

Council review reference data — expertise weights, structured response format, scoring thresholds, and false positive taxonomy. Background knowledge for council subagents.

Audit review checklist for a repo: cluster recurring review-comment themes across merged PRs in a window, diff against docs/code-review-checklist.md, and open a PR proposing new entries with PR traceability. Designed for /schedule monthly cadence. Pass --dry-run to print clusters without opening a PR. Trigger phrases: audit review checklist, update review checklist, cluster PR findings.

Multi-agent development workflow using Agent Teams. Supports five modes: plan (architect teammate + PM teammate debate → plan.md), dev (developer teammate + code-tester teammate + qa-tester teammate + reviewer teammate iterate → code), full (plan → approval gate → dev), auto (plan → dev, no gate), and bugfix (tester + developer + reviewer TDD triad → fix + PR). Use when tasks benefit from collaborative agent teammates with peer messaging.

You MUST use this skill before /pm when work is ambiguous, scope is unclear, or multiple approaches exist. Explores problem space, proposes 2-3 approaches with trade-offs, and produces an approved spec document that feeds into both issue creation (/pm) and implementation planning (/cdt). Triggers: brainstorm, explore idea, think through, design approach, what should we build, explore options, weigh approaches, compare solutions, needs help deciding between alternatives.

Triage open GitHub issues and recommend what to work on next. Builds a dependency graph from issue bodies, detects circular dependencies, ranks unblocked issues by weighted scoring (blocks-others, priority, type, age, milestone), and presents top candidates for interactive selection. Triggers: what should I work on next, triage backlog, next issue, pick next task, recommend issue, prioritize issues.

Project manager for GitHub issues: brainstorm design approaches, create structured issues optimized for LLM agent teams, triage and recommend what to work on next, audit and clean up stale issues, or deep-validate a single issue against the codebase. Triggers: create issue, plan work, new task, project manager, write ticket, draft issue, plan feature, plan project, start project, create ticket, review issue, brainstorm, explore idea, think through, pm.

Deep-validate a single GitHub issue against the codebase: cross-reference file paths, detect already-implemented features, check for related PRs, verify dependencies, and deliver a structured verdict with recommended action. Triggers: review issue, validate issue, check issue status, is this issue still needed, issue review.

Audit open GitHub issues for staleness, orphaned blockers, missing labels, codebase drift, and already-implemented features. Categorizes issues into close-candidates, update-needed, needs-triage, stale, and healthy. Supports bulk and individual remediation via interactive approval. Triggers: audit issues, clean up issues, update stale issues, issue hygiene, backlog cleanup, prune issues.

PR review compliance: fetch review comments from an open PR, categorize as resolved/unresolved/dismissed, critically evaluate fixable items, implement approved fixes, and reply inline. Pass --unattended to halt on human-judgment items (emitted as Pending-Human) instead of prompting via AskUserQuestion.

CI-optimized code review: multi-agent parallel review with confidence scoring and atomic GitHub PR review posting. Runs 6 (lean) or 9 (full) specialized review agents including one unconstrained deep-reviewer, scores findings for confidence, filters false positives, and submits a single atomic GitHub PR review with inline comments via gh api. Supports --single for cost-effective single-agent reviews with confidence scoring, --agent profile for AI-authored PRs (surfaces more findings since fixes are cheap). Use --min-severity to control finding threshold. Use when reviewing PRs in CI pipelines, GitHub Actions workflows, or locally. Triggers: /ci-review, review PR, CI code review, automated PR review. Use --model to override the reviewer model (e.g., --model opus for deeper analysis). Use: /ci-review <PR#> [focus text] [--full|--lean|--single] [--agent] [--model sonnet|opus] [--min-severity <level>]

Use after writing implementation plans (superpowers:writing-plans output) or when the user says "review plan", "check my plan", "sanity check the plan", "validate plan", "review before executing". Also use before superpowers:executing-plans if a plan has not been reviewed yet.

Use when implementing GitHub issues for skill or plugin development through TDD-governed phases with iterative planning, implementation, and review loops. Use this whenever the issue involves SKILL.md files, agent prompts, hook scripts, or plugin workflows.

Dev Life Cycle quality gates: run security scans, code quality checks, performance analysis, test coverage, and PR review compliance. Routes to domain-specific sub-skills or runs all checks in sequence.

Test coverage analysis: detect test framework, run test suite, capture failures and coverage metrics, identify coverage gaps in recent changes, and create a structured GitHub issue.

PR validity analysis: fetch PR diff, extract new code additions, search existing codebase for duplicate or overlapping implementations, classify changes, and create a structured GitHub issue.

Security scan: dependency audits, SAST analysis, and secret detection. Detects project type, runs available security tools, classifies findings by severity, and creates a structured GitHub issue.

Git hygiene: clean up merged branches, prune stale remotes, and verify repository state.

Performance analysis: bundle size checks, profiling, benchmarks, and algorithmic complexity review. Identifies performance-sensitive areas and creates a structured GitHub issue.

Code quality check: linting, complexity analysis, duplication detection, and dead code identification. Detects project linting config, runs appropriate tools, and creates a structured GitHub issue.

Review Jules (Google AI agent) pull requests using AI council. Supports -quick flag for lightweight reviews via parallel triage.

Help developers build on Oasis Network: Sapphire confidential EVM, ROFL off-chain apps, CLI operations, SDK patterns (Rust, Go, TypeScript, Python), and ParaTime development.

Manage secrets with Doppler: CLI operations, project/config/environment management, secrets injection, CI/CD integrations, and security best practices.

Help developers use Temporal for durable execution workflows. Covers CLI commands, SDK patterns (Go, TypeScript, Python, Java), workflow orchestration, and architectural decisions.

Validate plugin SKILL.md frontmatter and audit hook scripts for silent failures. Run validation to check all plugins pass schema, source path, and frontmatter checks. Run hook audit to detect unhandled errors in shell and Python scripts.