Explorar skills

Combine a parallel persona-swarm's outputs into an actionable artifact — consensus matrix (what every persona agreed on), dissent log (where personas disagreed and why), open questions (what nobody could answer), recommended next move (synthesized decision). Preserves dissent rather than forcing consensus. Use when running a brainstorm-swarm and the swarm-protocol skill has collected the persona o

Use when auditing and fixing security in a scope — injection (SQL, shell, template), auth/authz gaps, secrets in code or logs, weak crypto, missing validation at trust boundaries, XSS, SSRF, path traversal. Triggers on "audit security", "security review", "fix vulnerabilities", "OWASP check".

Configures end-to-end tracing for an LLM application using OpenTelemetry with LangSmith, Langfuse, or Helicone — span naming, metadata tagging, latency thresholds, and cost tracking.

Scaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.

Use when a task is multi-step, ambiguous, or high-impact and you need an executable implementation plan before editing code.

Takes a GitHub issue and produces a step-by-step implementation plan with file locations and code changes needed.

Writes clear migration guides for library upgrades, breaking API changes, or framework version bumps.

Run frontend functional, accessibility, visual, and performance test planning with structured reports.

Use when the user wants to set up sidechain compression - typically kick → bass, kick → pads, vocals → music bed. Examples - "sidechain my bass to the kick", "make the synths duck under the vocal", "add pumping to the chords".

Python development — use when the user works with .py files, pyproject.toml, uv, ruff, mypy, pytest, async/await, MicroPython, CLI tools, or PyPI publishing. Covers modern tooling, best practices, library architecture, functional patterns, and production workflows. NOT for TypeScript or JavaScript development (use typescript-development), NOT for React component patterns (use react-development).

Use when an e-commerce or content site wants to deeply understand WHO their organic competitors are (often surprising — not the brands they think) and WHERE the competitors outrank them — e.g. "competitor analysis", "keyword gap analysis", "who outranks me", "Wettbewerber-Lücken", "wo verlieren wir gegen die Konkurrenz", "content opportunities from competitor SERPs". Produces a prioritized opportu

Code review via OpenAI Codex — review uncommitted changes, branches, or commits