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Found 1,195 Skills
Create or update a project constitution with governance rules. Uses discovery-based approach to generate project-specific rules.
Universal Assistant — Automatically analyzes scenarios, takes inventory of ECC resources, intelligently routes to the optimal agent pipeline, and completes complex workflows with one click.
(Industry standard: Sequential Agent / Agent as a Tool) Primary Use Case: Delegating a well-defined task to a worker agent, verifying its execution, and repeating if necessary. Inner/outer agent delegation pattern. Use when: work needs to be delegated from a strategic controller (Outer Loop) to a tactical executor (Inner Loop) via strategy packets, with verification and correction loops.
Orchestrates parallel KB generation using spatial analysis and a map-reduce architecture with incremental update support.
Orchestrates Tizen certification workflow. Coordinates TCT test execution, compliance verification, and certification documentation.
Interact with DeerFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to DeerFlow for research/analysis, start a DeerFlow conversation thread, check DeerFlow status or health, list available models/skills/agents in DeerFlow, manage DeerFlow memory, upload files to DeerFlow threads, or delegate complex research tasks to DeerFlow. Also use when the user mentions deerflow, deer flow, or wants to run a deep research task that DeerFlow can handle.
Standalone squad manager — creates, inspects, validates, and manages squads (multi-agent teams). Scaffolds directories, agents, tasks, workflows. Registers squads for slash commands. Works independently without AIOS. Activates on: create squad, list squads, add agent, validate squad, run workflow, inspect squad, manage squad.
Enhance a plan with parallel research agents for each section to add depth, best practices, and implementation details
Skill for using Fabro, the open source AI coding workflow orchestrator that lets you define agent pipelines as Graphviz DOT graphs with human gates, multi-model routing, and cloud sandboxes.
Run all security scanners against the project and produce a unified, severity-bucketed report. Orchestrates gitleaks (secrets), osv-scanner/trivy (dependency vulns), semgrep (static analysis), context-file injection scanner (built-in), and repo hygiene checks (built-in). Missing scanners are skipped with install hints — the scan always completes. Triggers on: 'security check', 'security scan', 'run security', 'scan for secrets', 'check for vulnerabilities', 'security audit', 'audit dependencies', 'check secrets', 'find vulnerabilities', 'scan codebase'.
Use this skill when managing multi-repository systems using the `meta` tool (github.com/mateodelnorte/meta). Triggers on meta git clone, meta exec, meta project create/import/migrate, coordinating commands across many repos, running npm/yarn installs across all projects, migrating a monorepo to a multi-repo architecture, or any workflow that requires running git or shell commands against multiple child repositories at once.
Multi-step voice content generation with deterministic validation. Orchestrates a 7-phase pipeline: LOAD, GROUND, GENERATE, VALIDATE, REFINE, OUTPUT, CLEANUP. Use when generating content in a specific voice, writing as a persona, or validating existing content against a voice profile. Use for "voice write", "write as", "generate in voice", or "voice content". Do NOT use for creating new voice profiles (use voice-calibrator), analyzing writing samples (use voice_analyzer.py), or general content without a voice target.