Claude Code Skills · page 104
Individual Claude Code skills mined from every repository in the directory: each SKILL.md, installable with one command, with its full definition and the repository's trust signals.
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Light0305/Light-skillsInstall辅助软件著作权与专利申请。当用户需要做软著或专利材料时使用。软著:软件名称、功能说明、操作说明书、源代码整理、文档撰写、材料清单、流程、界面截图、功能模块说明、版本与完成日期。专利:判断是否可申发明/实用新型/外观,梳理技术问题、技术方案、有益效果、创新点、实施例、权利要求书与说明书草案、附图说明。最终文本须由专业代理人审核。
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Light0305/Light-skillsInstallCoordinate and recover multi-stage Light research projects through the canonical .light/passport.yaml state, stages 1-13, resident overlays, checkpoints, findings, parallel joins, stale propagation, handoffs and user-authorized reroutes. Use for a new/resumed/partial/dirty/failed/stale/delivered research project; when the user says continue, resume, take over, checkpoint, reroute, recover or deliver; or when work crosses two or more Light research stages. Never turn frontend-design/system-design/patent-disclosure/software-copyright or overlays into stages, never execute a suggested back-edge without explicit user authorization, and never declare delivery from file existence alone.
Light0305/Light-skillsInstall撰写论文初稿与单章节起草、重写、自检。当用户要写论文、写某个章节(标题/摘要/引言/相关工作/方法/实验/结果/讨论/结论/局限/未来工作)、重写某章节、或对草稿做失败模式自检时使用。五种模式 full/outline-only/abstract-only/section-redraft/self-review;以顶刊/顶会审稿人标准打磨,逻辑严谨、创新点突出、结论不夸大、claim 有引用支撑。
Light0305/Light-skillsInstall对论文分模块润色——语言润色、逻辑重构、结构优化、创新点强化、论证补强、摘要精炼、引言增强、实验分析深化、结论提升。当用户需要改论文、觉得某段不通顺/逻辑弱/创新点不突出时使用。从审稿人角度找逻辑薄弱、论证不足、表达不专业、易被质疑、缺引用、需重组之处,给出具体修改方案与修改后文本。
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Light0305/Light-skillsInstallBuild auditable peer-review revision and author-response packages for Light stage 13. Use after receiving reviewer comments, a decision or meta-review; when drafting a rebuttal or response letter; when triaging major/minor revisions; when simulating a pre-submission review; or when a rejection may require a user-chosen 13→3 novelty, 13→5 experiment, or 13→8 writing back-edge. Consumes the selected venue/context and real PDF facts, preserves reviewer wording, atomizes issues, binds claims/evidence/actions/provenance, separates PLANNED from DONE, checks current venue limits without borrowing another venue's rules, and emits the stage-13 gate without changing venue, manuscript, evidence, citations, figures, PDF, or passport automatically.
Light0305/Light-skillsInstall自动反思与自我审查。每次完成任务后自动检查是否存在逻辑漏洞、事实错误、格式问题、表达不清、创新不足、引用不准、结果夸大、审美不统一、重复内容、结构混乱、不可执行等问题(常驻,所有任务收尾时生效)。不一次性给出粗糙结果,而是先自我审查与迭代后再输出。
Light0305/Light-skillsInstall- light-slides620
制作精美 PPT。当用户需要为论文、项目、竞赛、答辩、汇报、路演做幻灯片时使用。设计封面/目录/过渡/内容/图表/流程/时间线/对比/团队/结论/致谢等页。逻辑清晰、排版高级、审美统一、重点突出,按主题选风格(学术/科技/农业/医学/商务/极简/浅色/深色/数据可视化/竞赛路演)。不仅生成内容,还规划整套叙事逻辑、视觉风格、页面层次与演讲节奏。
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Light0305/Light-skillsInstall工具选择与多工具协同。根据任务自动判断适合用什么工具——搜索、Python、R、MATLAB、LaTeX、Word、Excel、PowerPoint、Visio、Origin、数据库、Git、前端/后端框架、绘图工具、文献管理工具等(常驻,所有任务后台生效)。不盲目用工具,而是按实际任务选最高效、最稳定、最专业的实现方式。
Light0305/Light-skillsInstallBuild and preflight submission-ready LaTeX/PDF artifacts for Light stage 11. Use when receiving a paper-writing manuscript, figure delivery, citation delivery.json/references.bib/citekey-audit.json, or a venue/template profile; when selecting pdfLaTeX/XeLaTeX/LuaLaTeX and BibTeX/Biber; when diagnosing LaTeX errors or unresolved references; when checking page limits, double-blind identity, PDF metadata, template, page box, embedded fonts, TODOs, figures, tables, labels and citations; or when producing a reproducible compile manifest, PDF, compliance report, failure bundle and venue-matching handoff. Distinguishes PASS, manuscript ERROR, toolchain UNAVAILABLE and convergence UNRESOLVED without redoing citation authenticity or figure scientific QA.
Light0305/Light-skillsInstallBuild evidence-bound journal or conference shortlists for Light stage 12. Use after typesetting delivers venue-handoff.json/PDF/compliance facts; when an author asks where to submit, journal selection, conference fit, scope or article-type matching, publication strategy, reach/match/safety tiers, transfer order, APC/OA/indexing/deadline constraints, or predatory/hijacked-journal risk. Produces a current-source candidate registry, fit/risk/unknown reports, and an unchosen decision packet; never recompiles the PDF, invents acceptance rates, condemns a venue from soft signals, chooses without a direct user choice or explicit delegation, or submits.
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Light0305/Light-skillsInstall- docsagent616
Search and manage private, local document collections (PDF, PPTX, DOCX) offline. Use when you need to find information within your private files, not for web research.
docsagent/docsagentInstall MDA compatibility demonstration skill for Claude Code. Compiled from compat/claude-code/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md loads in Claude Code with the envelope subset of agentskills.io v1 fields honored.
sno-ai/mdaInstallMDA compatibility demonstration skill for Codex CLI. Compiled from compat/codex-cli/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md is discovered and parsed by Codex CLI with the envelope subset of agentskills.io v1 fields honored.
sno-ai/mdaInstallMDA compatibility demonstration skill for Hermes Agent. Compiled from compat/hermes/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md is discovered, parsed, and listed by Hermes Agent under its `~/.hermes/skills/<category>/<name>/SKILL.md` layout.
sno-ai/mdaInstallMDA compatibility demonstration skill for OpenClaw. Compiled from compat/openclaw/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md installs cleanly via `openclaw skills install <local-dir> --global` and is reported as parsed by `openclaw skills info --json`.
sno-ai/mdaInstallMDA compatibility demonstration skill for OpenCode. Compiled from compat/opencode/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md is discovered and parsed by OpenCode with the envelope subset of fields documented at opencode.ai/docs/skills/ honored.
sno-ai/mdaInstallBasic compiler conformance fixture.
sno-ai/mdaInstallMinimal MDA source demonstrating relationship-graph footnotes and metadata.mda.* MDA-extended fields. Use as a reference fixture when learning the MDA source format.
sno-ai/mdaInstall- node-tools616
Run a TypeScript script via tsx to fetch an HTTP endpoint and stream the response. Use when you need a small Node.js helper for HTTP calls.
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kentcdodds/kodyInstall- conduct616
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kentcdodds/kodyInstall - control-kody616
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kentcdodds/kodyInstall - orchestrate616
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kentcdodds/kodyInstall - remix616
Build and review Remix 3 applications using the `remix` npm package and
kentcdodds/kodyInstall - ship-pr616
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kentcdodds/kodyInstall How to run and test kody's multi-worker local dev (origin kody worker +
kentcdodds/kodyInstall- visual-recap616
Generate and maintain the system recap block in a PR description - a
kentcdodds/kodyInstall - changeset610
Draft a Changesets file for modified public packages in this repo.
MaxGfeller/open-harnessInstall Run the local maintainer release flow for this Changesets-based pnpm monorepo.
MaxGfeller/open-harnessInstallReview dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWaveInstallReview dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWaveInstallReview dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof
nWave-ai/nWaveInstallDetailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
nWave-ai/nWaveInstall5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
nWave-ai/nWaveInstallArchitectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
nWave-ai/nWaveInstallComprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
nWave-ai/nWaveInstallCanonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral. Drives acceptance-designer reviewer verdict deterministically.
nWave-ai/nWaveInstallDomain-specific authoritative source databases, search strategies by topic category, and source freshness rules
nWave-ai/nWaveInstallBDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation
nWave-ai/nWaveInstallBDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
nWave-ai/nWaveInstallStructured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.
nWave-ai/nWaveInstallAll /nw-* commands — what they do, when to use them, which agent they invoke. For the buddy agent to help users pick the right command.
nWave-ai/nWaveInstallHow the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.
nWave-ai/nWaveInstallSingle Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.
nWave-ai/nWaveInstallWave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.
nWave-ai/nWaveInstall- nw-buddy610
nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.
nWave-ai/nWaveInstall - nw-bugfix610
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD
nWave-ai/nWaveInstall - nw-canary610
Canary skill for auto-injection detection
nWave-ai/nWaveInstall CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
nWave-ai/nWaveInstallCross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
nWave-ai/nWaveInstallDocumentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations
nWave-ai/nWaveInstallBest practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence
nWave-ai/nWaveInstallStep-by-step workflow for converting bloated command files to lean declarative definitions
nWave-ai/nWaveInstall- nw-continue610
Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.
nWave-ai/nWaveInstall Crafter discipline contract for the ATDD-pure 7-phase workflow — what the slim crafter does in Phase A (GREEN-the-ATs), Phase B (coverage-driven dead-code elimination), and Phase E (batch L1-L6 refactor), plus hard prohibitions and the Phase B common-cuts taxonomy
nWave-ai/nWaveInstallData architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns
nWave-ai/nWaveInstallDatabase comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics
nWave-ai/nWaveInstallEvent Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications
nWave-ai/nWaveInstallEvent Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution
nWave-ai/nWaveInstallStrategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment
nWave-ai/nWaveInstallTactical DDD — aggregate design rules, entities, value objects, domain events, repositories, domain services, and anti-pattern detection
nWave-ai/nWaveInstallDELIVER wave orchestration workflow -- 9 phases from baseline to finalization. Load when user invokes *deliver command. Covers state tracking, smart skip logic, retry, resume, and quality gate enforcement.
nWave-ai/nWaveInstall- nw-deliver610
Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize). Use when all prior waves are complete and the feature is ready for implementation.
nWave-ai/nWaveInstall Shared density-resolution contract for wave skills. Canonical detail on the D12 cascade, density resolver call, ad-hoc override workflow, and DocumentationDensityEvent telemetry emission. Referenced from nw-discover / nw-discuss / nw-design / nw-devops / nw-distill / nw-deliver.
nWave-ai/nWaveInstallRollback procedures, risk assessment, pre/post-deployment validation, and contingency planning. Load when orchestrating deployment or preparing rollback plans. For deployment strategy details (canary, blue-green, rolling), see `cicd-and-deployment` skill.
nWave-ai/nWaveInstallEvaluation criteria and scoring for data engineering artifact reviews
nWave-ai/nWaveInstallApple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns. Load when transitioning from discovery to visualization or when designing journey artifacts.
nWave-ai/nWaveInstall7 agentic design patterns with decision tree for choosing the right pattern for each agent type
nWave-ai/nWaveInstall- nw-design610
Designs system architecture with C4 diagrams and technology selection. Routes to the right architect based on design scope (system, domain, application, or full stack). Two interaction modes: guide (collaborative Q&A) or propose (architect presents options with trade-offs).
nWave-ai/nWaveInstall - nw-devops610
Designs CI/CD pipelines, infrastructure, observability, and deployment strategy. Use when preparing platform readiness for a feature.
nWave-ai/nWaveInstall - nw-diagram610
Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML. Use when creating or updating architecture visualizations.
nWave-ai/nWaveInstall - nw-discover610
Conducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.
nWave-ai/nWaveInstall Question-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.
nWave-ai/nWaveInstall4-phase discovery workflow with decision gates, phase transitions, success metrics, and state tracking
nWave-ai/nWaveInstall- nw-discuss610
Conducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery. Use when starting feature analysis, defining user stories, or creating acceptance criteria.
nWave-ai/nWaveInstall - nw-distill610
Acceptance test creation methodology for the DISTILL wave. Domain knowledge for the acceptance designer agent: port-to-port principle, prior wave reading, wave-decision reconciliation, graceful degradation, and document back-propagation.
nWave-ai/nWaveInstall - nw-diverge610
Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence. Use when the team has a validated problem but hasn't chosen a solution approach.
nWave-ai/nWaveInstall Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts
nWave-ai/nWaveInstallDIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog
nWave-ai/nWaveInstall- nw-document610
Creates evidence-based documentation following DIVIO/Diataxis principles. Use when writing tutorials, how-to guides, reference docs, or explanations.
nWave-ai/nWaveInstall Strategic and tactical DDD patterns, bounded context discovery, context mapping, aggregate design rules, and decision frameworks for when to apply DDD
nWave-ai/nWaveInstallDefinition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review
nWave-ai/nWaveInstallCritique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
nWave-ai/nWaveInstall- nw-execute610
Use when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle. Use nw-roadmap to create the plan, nw-deliver for the whole wave, and nw-continue to resume at the next inferred step.
nWave-ai/nWaveInstall Fast-forwards through remaining waves end-to-end without stopping for review between waves.
nWave-ai/nWaveInstall- nw-finalize610
Archives a completed feature to docs/evolution/, migrates lasting artifacts to permanent directories, and cleans up the temporary workspace. Use after all implementation steps pass and mutation testing completes.
nWave-ai/nWaveInstall Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
nWave-ai/nWaveInstall