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Expressões regulares para correspondência de padrões em sequências biológicas, incluindo busca de ORFs, motivos, sítios de restrição, cabeçalhos FASTA e correspondências sobrepostas.

Task management agent. Auto-invoked for task creation, status tracking, and kanban board operations using Markdown files across lane directories. V2 enforces Kanban Sovereignty constraints preventing manual task file edits.

How to access GitHub. Avoid direct URL fetches; prefer GitHub MCP tools or the `gh` CLI subcommands. Use when fetching GitHub information or operating on issues, pull requests, or workflows.

Show the current Qualflare state for this project — detected frameworks, test counts, hook setting, and last upload info. Use when the user runs /qf-state, asks "what does Qualflare know about this project?", or asks about their current Qualflare setup.

Automatically updates the plugin/skill/agent counts in README.md based on the current plugins/ directory.

Run a fast 2-agent pre-submission check for an empirical paper — focuses on contribution, identification, and causal overclaiming. Designed for marketing (MKSCI, JMR, JCR, MS) and economics/finance papers. Completes in ~1 minute.

Beamer slide generation with citation strategy decision, code-first matplotlib figures, outline checkpoint with content inventory, audience-aware rhetoric, Devil's Advocate slides, code blocks, and transition slides. Quality audit runs as a single agent at the sonnet tier. Adapted from Scott Cunningham's beautiful_deck approach.

Relógios Epigenéticos e Análise do Envelhecimento com Matplotlib

Generate a GitHub pull request title and body from the current branch and let the user review before creation. Use when the user wants to create a pull request.

Initialize and onboard a new project repository as an Obsidian Vault. Covers prerequisite installation, vault configuration, exclusion filters, and validation. Use when setting up Obsidian for the first time in a project.

Use when user says "validate this", "get feedback", "cross-validate", "what are we missing", when seeking external review before committing to major decisions, when stress-testing a design with senior reviewers, or when reviewer responses need to be synthesized into actionable changes.

PostgreSQL development for Python with full-text search (tsvector, tsquery, BM25 via pg_search), vector similarity (pgvector with HNSW/IVFFlat), JSONB and array indexing, and production deployment. Use when creating search features, storing AI embeddings, querying vector similarity, optimizing PostgreSQL indexes, or deploying to AWS RDS/Aurora, GCP Cloud SQL/AlloyDB, or Azure. Covers psycopg2, psy