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Found 285 Skills
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.
Multi-agent pipeline orchestrator that plans and dispatches parallel development tasks to worktree agents. Reads project context, configures task directories with PRDs and jsonl context files, and launches isolated coding agents. Use when multiple independent features need parallel development, orchestrating worktree agents, or managing multi-agent coding pipelines.
End-to-end product development for iOS/macOS apps. Covers market research, competitive analysis, PRD generation, architecture specs, UX design, implementation guides, testing, and App Store release. Use for product planning, validation, or generating specification documents.
Analyze product screenshots to extract feature lists and generate development task checklists. Use when: (1) Analyzing competitor product screenshots for feature extraction, (2) Generating PRD/task lists from UI designs, (3) Batch analyzing multiple app screens, (4) Conducting competitive analysis from visual references.
Launch Loki Mode autonomous SDLC agent. Handles PRD-to-deployment with minimal human intervention. Invoke for multi-phase development tasks, bug fixing campaigns, or full product builds.
Use when asked to "working backwards", "PR/FAQ", "Amazon PR/FAQ", "write a press release", "define a new product", or "write a customer-focused PRD". Helps define products by starting with the customer problem and desired outcome before building. The Working Backwards process (developed at Amazon) forces clarity on customer value before committing engineering resources.
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.
Divide-and-conquer implementation from specs/plans. Decomposes a reference document into independent tasks, assigns each to a builder agent, executes in parallel waves respecting dependencies, then integrates results. Use when you have a spec, PRD, plan, or large feature to implement quickly with parallel execution.
Launch automated multi-skill pipeline that chains skills into a loop. Use when user says "run pipeline", "automate research to PRD", "full pipeline", "research and validate", "scaffold to build", "loop until done", or "chain skills". Do NOT use for single skills (use the skill directly).
Get Shit Done (GSD) orchestrator. Runs the full project pipeline from idea to implementation to documentation: setup → PRD → task list → implementation → decisions doc. Use when the user wants to build something end-to-end, says "let's GSD", "build this from scratch", "get shit done", or wants to run the full development workflow. Coordinates gsdl-setup-project, gsdl-create-prd, gsdl-create-plan, gsdl-execute-plan, and gsdl-document-decisions skills. Spawns subagents per parent task during implementation to preserve context. Accepts an optional project name or source URL: /gsdl [project-name] OR /gsdl [linear|notion|slite] [url] OR /gsdl [url].
Scaffold or continue a software project with a Harness-style workflow. Use when the user wants a new app or repo, a structured bootstrap, or milestone-driven execution from PRD through implementation. Supports greenfield and existing codebases across web, iOS, CLI, agent, and desktop projects.
Create an AI Evals Pack (eval PRD, test set, rubric, judge plan, results + iteration loop). Use for LLM evaluation, benchmarks, rubrics, error analysis/open coding, and ship/no-ship quality gates for AI features.