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Found 276 Skills
Converge a fuzzy idea or half-formed feature into an approved spec through an iterative, grounded design dialogue. Use when the user has a fuzzy idea or design direction — phrases like "let's design X", "I'm thinking about Y", "what should the API for Z look like", "shape this into a spec", "what would it take to build/set up X", "I want to add a feature that…", "/mold". Use even when the user is "just thinking out loud" if they want the dialogue to leave behind a written artifact. Do NOT use for free-form discussion with no artifact intent (`/culture`), direct implementation (`/cook`), or research-only questions (`/briesearch`).
Set up and manage local skills for automatic matching and invocation
This skill provides comprehensive guidance for using the Replicate CLI to run AI models, create predictions, manage deployments, and fine-tune models. Use this skill when the user wants to interact with Replicate's AI model platform via command line, including running image generation models, language models, or any ML model hosted on Replicate. This skill should be used when users ask about running models on Replicate, creating predictions, managing deployments, fine-tuning models, or working with the Replicate API through the CLI.
Replace generic perspectives with domain-specific expert roles selected dynamically per request. Automatically picks the 3 most relevant experts from a role pool (Security, Performance, UX, Cost, DX, Architecture, etc.) based on the task context.
Build, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain image generation, video creation, enhancement, and editing into automated pipelines.
Use when the user wants to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.
LangGraph framework for building stateful, multi-agent AI applications with cyclical workflows, human-in-the-loop patterns, and persistent checkpointing.
Publish a Harbor task or dataset to the registry. Use when the user wants to upload, publish, or share tasks or datasets/benchmarks on the Harbor registry.
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
AI project intelligence system. Manages .ai/ directory for rules, behaviours, sessions, incidents, memory, snapshots, and learning loops. Use when: starting a session, switching behaviour, logging an incident, saving feedback, reviewing past sessions, checking active hotfixes, managing snapshots, creating snippets/prompts. Proactively suggest when: user corrects AI behavior ("no", "don't", "wrong", "stop", "always", "never"), session ends, a mistake pattern repeats, starting work on unfamiliar code, user says "remember this" or "learn this".
Route issue-running automation through a deterministic control plane that selects agent + model from registry, can coordinate multiple safe parallel agents, and executes the unified run-agent runner.
Build local-only executive assistant workflows with OpenClaw using file-based data intake, operational memory, and communications triage