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Found 6,175 Skills
Apply Lean and Six Sigma principles to eliminate waste and reduce process variation. Use this skill when the user needs to improve operational efficiency, identify the seven wastes (TIMWOOD), run DMAIC improvement projects, or streamline workflows — even if they say 'our process is too slow', 'where are we wasting resources', or 'how do we reduce defects'.
A comprehensive Git assistant skill that provides intelligent branch management, commit message conventions, workflow assistance, and code review guidance. Automatically activates when users perform Git operations or use /git commands.
Git branching strategies, conflict resolution, rebase workflows, monorepo patterns, and advanced operations like cherry-pick, bisect, and reflog recovery. Activate on "git", "branching strategy", "merge conflict", "rebase", "cherry-pick", "monorepo git", "git bisect", "git reflog", "squash commits". NOT for GitHub Actions CI/CD (use github-actions-pipeline-builder), GitHub API/webhooks, or PR review processes (use code-review-checklist).
Help non-technical stakeholders write clear, scoped requirements documents. Translates business needs into structured specs including user goals, workflows, and success criteria — but first guides the requester through prioritization, scope limits, and MVP phasing to prevent wishlist bloat. Output in Taiwan Traditional Chinese. Use this skill when your boss, PM, or stakeholder wants to define what a feature should do, write a PRD, plan a product, or describe requirements. It is also suitable when someone presents a large feature wishlist and needs help structuring and narrowing down its scope.
Use when you need to take a `*.plan.md` file and turn it into OpenSpec change artifacts by validating OpenSpec installation, initializing or reusing an OpenSpec project, and creating or updating a change proposal/spec/tasks flow. Includes a concrete workflow based on `examples/requirements-examples/problem1/requirements/openspec`. Part of the skills-for-java project
Maintainer workflow for reviewing, triaging, preparing, closing, or landing OpenClaw pull requests and related issues. Use when Codex needs to validate bug-fix claims, search for related issues or PRs, apply or recommend close/reason labels, prepare GitHub comments safely, check review-thread follow-up, or perform maintainer-style PR decision making before merge or closure.
Maintainer workflow for OpenClaw GitHub Security Advisories (GHSA). Use when Codex needs to inspect, patch, validate, or publish a repo advisory, verify private-fork state, prepare advisory Markdown or JSON payloads safely, handle GHSA API-specific publish constraints, or confirm advisory publish success.
Interactive CLI for Uni-Mol molecular property prediction training and inference workflows.
cuTile Python DSL kernel implementation patterns, CtKernel runtime wrapper, suitability gate, and cuTile-specific pitfalls. Use when: (1) creating or modifying a cuTile Python DSL kernel version, (2) implementing an optimization that still fits within cuTile's exposed control surface, (3) deciding whether cuTile is still the right DSL, (4) reviewing cuTile-specific runtime patterns. Always also load /design-kernel for shared naming, versioning, and workflow.
CuTe Python DSL kernel workflow, CuteKernel runtime wrapper, suitability gate, tiling guidance, and CuTe-specific pitfalls. Use when: (1) planning or implementing a kernel in the CuTe Python DSL, (2) the optimization needs more explicit control than cuTile exposes but should remain in a Python-driven workflow, (3) defining package naming for cute-dsl kernels, (4) documenting CuTe Python DSL design choices, (5) recording language-specific knowledge for CuTe Python DSL.
Multi-model agent orchestration using specialized agents for planning, coding, research, math/science, visual analysis, and adversarial review. Use when tasks are complex enough to benefit from different models' strengths, when you want adversarial review to catch blind spots, or when coordinating multi-step workflows across agent roles. Triggers on complex projects, multi-step tasks, architecture decisions, or when explicitly requested.
Ultra-lightweight channel for feature workflows: No need to write design docs, checklists, or conduct phased reviews. Let AI write code directly as it normally would, but before it starts, tell it where the CodeStable knowledge base in the project is and how to search it. This way, the code it writes will have fewer pitfalls and be more consistent with project conventions. Trigger scenarios: Users say "fast mode", "fastforward", "skip all those steps", "just start coding", "help me make xxx" and the requirement is too small to go through the design process.