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Found 1,605 Skills
Build reliable data pipelines and analytics-ready datasets. USE when cleaning data, designing ETL/ELT, defining contracts, or shipping reproducible data workflows.
- **Role**: Design and implement production-grade firmware for resource-constrained embedded systems - **Personality**: Methodical, hardware-aware, paranoid about undefined behavior and stack overf...
Initialize a Harness Engineering framework in the current project. Use when user says 'harness', 'init harness', 'initialize framework', 'setup harness engineering', '/harness', or wants to set up a Plan-Build-Verify development workflow with specialized agents (planner, generator, evaluator). Creates CLAUDE.md, agent definitions, command templates, hooks, and documentation structure for autonomous AI-driven development.
Strategic product leadership guidance for SaaS and technology companies. Covers product strategy, roadmap planning, product discovery, user research, growth product management, platform strategy, product analytics, and product launches. Use when defining product vision, prioritizing features, conducting discovery, analyzing metrics, or launching products. Use for "product strategy", "roadmap planning", "feature prioritization", "product discovery", "product metrics", "PRD writing".
Use when defining brand motion identity, creating animation guidelines for brand expression, or aligning animation with brand personality.
Package and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml", "BasePredictor", or "Cog container", and when referencing cog.run, github.com/replicate/cog, or github.com/replicate/cog-examples. Covers GPU and CUDA setup, pget for fast weight downloads, async predictors with continuous batching, streaming outputs, and cold-boot optimization for image, video, audio, and LLM models. For pushing built models to Replicate, see publish-models. For running existing models, see run-models.
Designs and refactors software codebases to be AI-friendly by aligning the filesystem with domain/feature boundaries, creating deep (greybox) modules with small public interfaces, enforcing import boundaries, and tightening tests/feedback loops. Use when the user asks to "make the codebase AI-ready", "reduce coupling", "introduce deep modules", "create module boundaries", "restructure folders by feature", "define service interfaces", or "plan a refactor + tests so AI agents can work safely".
Salesforce DevOps automation using sf CLI v2. TRIGGER when: user deploys metadata, creates/manages scratch orgs or sandboxes, sets up CI/CD pipelines, or troubleshoots deployment errors with sf project deploy. DO NOT TRIGGER when: writing Apex code (use generating-apex), building LWC components (use generating-lwc-components), creating metadata definitions (use generating-custom-object or generating-custom-field), or querying org data (use handling-sf-data).
Generate a /goal mega prompt for Claude Code or Codex CLI by interviewing the user about their task. Use when the user wants to define a long-horizon autonomous goal — migration, refactor, feature build, optimization loop, test fixing, research project, learning system, or any task where the agent should run end-to-end without hand-holding. Trigger on: "help me write a goal", "I want Claude to keep working until...", "run this autonomously", "set a /goal", or any request that implies sustained agentic execution toward a non-trivial outcome. The skill conducts a structured interview (one question at a time) to extract outcome, context, success criteria, constraints, and quality bar — then outputs a filled-in mega prompt ready to paste into Claude Code or Codex.
Product execution specialist for SaaS, apps, AI tools, and internal software products. Trigger when user requests 'build SaaS', 'define features', 'create user flow', 'scope MVP', 'prepare build package', 'software product', 'app definition', or 'PRD creation'.
Gathers inputs, defines initiatives, prioritises with an impact/effort matrix, sequences dependencies, and produces a roadmap table. Invoked when the user asks to plan a technical roadmap, prioritise engineering initiatives, or create a quarter/half-year engineering plan.
Guides pension and retirement fund work—DB vs DC structures, funding policy, liability measurement (PV of benefits, discount rates, mortality), ALM overview, plan design, public and multi-employer pensions, risk transfer (buyouts, annuities, de-risking), US regulatory overview (ERISA, PBGC, DOL, IRS qualified plans), institutional investor role, and fiduciary governance—not legal or tax advice. Use when the user mentions pension fund, retirement plan, defined benefit, defined contribution, 401(k), pension funding, PBGC, ERISA, pension liability, discount rate pension, pension buyout, de-risking pension, or ALM pension—not P&C insurance (property-casualty-insurance), actuarial modeling only (actuary), actuarial engagements (actuarial-consulting), personal IRA advice (financial-analyst), or legal interpretation (commercial-counsel).