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Found 370 Skills
Meta-cognitive decision support that analyzes current context and surfaces intelligent next-step options to the user. Use this skill when: (1) User explicitly invokes /checkpoint, (2) Significant work has been completed and a checkpoint is valuable, (3) Uncertainty or ambiguity exists about requirements or approach, (4) Task complexity has expanded beyond initial scope, (5) Before finalizing or committing to ensure nothing is missed. This skill pauses execution, assesses the situation holistically, and presents 2-5 contextually-appropriate options via AskUserQuestion, with a recommended option and rationale.
Evaluate technical options with scoring matrix, trigger Gate 4 for significant decisions
Skill for creating Lucid agents with JavaScript handler code. Shows three options: MCP tool with SIWE, SDK with your wallet, or viem with custom signing. Teaches JS handler code contract, paymentsConfig, and identityConfig. Activate when: user wants to create Lucid agents with inline JS handlers (no generate API, no self-hosting). The agent will be hosted on the Lucid platform.
Apply factory function patterns to compose clients and services with proper separation of concerns. Use when creating functions that depend on external clients, wrapping resources with domain-specific methods, or refactoring code that mixes client/service/method options together.
Discovers your full tool environment and amplifies prompts with capability awareness. Suggests optimal tool compositions as non-binding options.
Use when users need to debug, modify, or extend the code-forge application's CLI commands, argument parsing, or CLI behavior. This includes adding new commands, fixing CLI bugs, updating command options, or troubleshooting CLI-related issues.
Builds and maintains the Sorcha CLI tool using System.CommandLine 2.0.2, Refit HTTP clients, and Spectre.Console. Use when: Creating CLI commands, adding options/arguments, implementing Refit service clients, writing CLI tests, or fixing command structure issues.
Guide wanderers to the right animal for their journey. Perch, tilt your head, chatter about the forest, present the options, and warble the recommendation. Use when helping users choose which skill to use, discovering capabilities, or navigating the ecosystem.
Use when defining GitLab CI jobs, configuring scripts, setting up environments, or managing job dependencies. Covers job structure and execution options.
Write newsletter subject lines for OpenEd Daily using 15 proven formulas + 10 Commandments evaluation. Generate 10+ options, select best through systematic criteria.
Safe experimentation framework for AI agents. Creates isolated sandbox environments for trying new features, testing approaches, and exploring solutions without polluting the main codebase. USE WHEN: Agent needs to try something uncertain, explore multiple approaches, test a new library, prototype a feature, or run a technical spike before committing to implementation. PRIMARY TRIGGERS: "experiment with" = Setup sandbox + run experiment "try this approach" = Quick experiment in sandbox "spike" / "POC" / "prototype" = Time-boxed technical investigation "tinker" / "tinkering mode" = Enter experimentation workflow "explore options" = Multi-approach comparison in sandbox NOT FOR: Debugging (use debugger), testing (use test runner), or committed feature work (use git branches). DIFFERENTIATOR: Unlike git branches (for committed direction), tinkering is for "I don't know if this will work" exploration. Try 5 things in sandbox before committing to a branch. Faster feedback, zero codebase pollution.
Variant and attribute selection on product detail pages. Use when modifying variant selectors, debugging "Add to Cart" button state, understanding option availability, or adding discount badges to options.