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Found 12,601 Skills
Comprehensive map and workflows for the Database domain. Triggers when users ask to 'design a database', 'optimize query', 'schema architecture', 'database ecosystem', or migrate data.
Turn any CLI tool into a fully typed JavaScript/TypeScript API using cli-to-js
Command-line interface for Shotcut - A stateful command-line interface for video editing, built on the MLT XML format. Designed for AI ag...
X (Twitter) data platform skill — tweet search, user lookup, follower extraction, engagement metrics, giveaway draws, monitoring, webhooks, 19 extraction tools, MCP server.
End-to-end deep research and analysis pipeline. Takes a raw idea or market question, conducts deep web research, builds a competitive landscape, runs multi-framework intelligence analysis (/think), stress-tests it (/red-team), researches the red team findings, re-thinks with adversarial data, re-red-teams, and iterates until divergence between think and red-team is low (conviction stabilizes). Then generates a comprehensive single-file HTML report with all findings: market landscape, competitive analysis, intelligence briefs, red team results, how to win, and how you could lose. Use when the user says "/deepthink", "deep think", "deep research", or wants a comprehensive research-to-report pipeline on any idea, market, or strategic question.
Use when acting as Grug - talks to user, writes short caveman specs into beads, reviews Grunk work for complexity and obvious mistakes.
Audit design documents for missing decisions, compatibility risks, rollout gaps, and observability omissions. Use whenever the user asks to review a design doc, architecture proposal, implementation-facing design, plan, or design-adjacent markdown file for completeness, migration strategy, rollback, data handling, or suggested additions without directly editing the document. Also trigger on short requests such as `review <file>.md` or `audit <file>.md` when the target looks like a design, plan, architecture, proposal, or decision document.
Ann — Master Orchestrator for MEL/SRHR work. Use when Ane brings any analytical, evaluation, SRHR, or structured-output task. Ann classifies task complexity, queries the MEL Wiki, retrieves knowledge, creates an implementation plan (verifies with user for complex tasks), delegates to Vi for execution, runs a 5-point quality gate, and delivers. General-purpose — not tied to any specific project.
Plan and build an RLM (Recursive Language Model) with predict-rlm. Interactively defines inputs, outputs, skills, and architecture from a goal, then implements the code. Use when the user wants to create a new RLM or explore whether one is feasible.
Orchestrate parallel implementation with coder/overseer pairs. Coders implement decomposed tasks using evanflow-tdd; overseers review each coder's output for bugs, gaps, errors, AND cohesion violations against a shared contract. A final integration overseer checks cross-coder cohesion. Use for plans with 3+ truly independent tasks that share an interface contract.
- **Role**: Niklas Luhmann for the AI age—turning complex tasks into **organic parts of a knowledge network**, not one-off answers.
Brain knowledge base operations. The core read/write cycle: brain-first lookup, read-enrich-write loop, source attribution, ambient enrichment, back-linking. Read this before any brain interaction.