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SkillsMP a collecté 2 238 skills depuis ForceInjection/domain-driven-design-skills. Ouvrez un skill pour examiner sa source et ses détails.
ForceInjection/domain-driven-design-skillsAffichage de 40 skills collectés sur 2 238.
Generate frontend code drafts using Gemini 3.1 Pro's one-shot UI generation. Use when building React components, HTML/CSS pages, SVG animations, or converting screenshots to code. Produces fast, cheap drafts (7.5x cheaper than Opus) that Claude reviews and…
Langue du texte source : anglais
Creates, updates, and deploys Power Apps generative pages for model-driven apps using React v17, TypeScript, and Fluent UI V9. Completes workflow from requirements to deployment. Uses PAC CLI to deploy the page code. Use it when user asks to build, retrieve,…
Langue du texte source : anglais
Git version control best practices: branching, commits, merging, conflict resolution, PR workflows. Use when managing branches, creating commits, merging code, or resolving conflicts.
Langue du texte source : chinois
Merges GitHub Pull Requests after validating pre-merge checklist. Use when user wants to merge PR, close PR, finalize PR, complete merge, approve and merge, or execute merge. Runs pre-merge validation (tests, lint, CI, comments), confirms with user, merges…
Langue du texte source : anglais
Handles PR review comments and feedback resolution. Use when user wants to resolve PR comments, handle review feedback, fix review comments, address PR review, check review status, respond to reviewer, verify PR readiness, review PR comments, analyze review…
Langue du texte source : anglais
Set up Hierarchical Agent Memory (HAM) — scoped CLAUDE.md files per directory that reduce token spend. Trigger on "go ham", "set up HAM", "ham commands", "ham help", "ham route", "ham update", "ham status", "ham benchmark", "ham baseline start", "ham baseline…
Langue du texte source : anglais
Shows available skills, common workflows, and quick reference for the plugin. Use when the user asks for help, what skills are available, or how to do something.
Langue du texte source : anglais
HODD-RUST validation-first Rust development - design Rust-specific verifications from requirements, then execute through validation pipeline. Use when developing Rust code with formal verification using rustfmt, clippy, static_assertions, Miri, Loom, Flux,…
Langue du texte source : anglais
Full conversion audit for any homepage or landing page. Use when someone asks to "review my homepage," "audit my landing page," "why isn't my page converting," "check my website," or wants feedback on their marketing page. Requires URL or screenshot before…
Langue du texte source : anglais
Use after opportunities are defined to generate and evaluate multiple product solution concepts before validating assumptions. Triggers when you need a set of distinct solution options tied to outcomes and opportunities.
Langue du texte source : anglais
Precision image editing using ImageMagick 7, sips, rembg, and Pillow with intelligent routing to AI semantic editing (Gemini/nano-banana-pro) for content-aware operations. This skill should be used when performing any image manipulation task including…
Langue du texte source : anglais
Places album art files in the correct audio and content directory locations. Use when the user has generated or downloaded album artwork that needs to be saved.
Langue du texte source : anglais
Moves audio files to the correct album location with proper path structure. Use when the user has downloaded WAV files from Suno or other sources that need to be organized.
Langue du texte source : anglais
Moves track markdown files to the correct album location. Use when the user has track files in Downloads or other locations that need to be placed in an album.
Langue du texte source : anglais
This skill should be used when the user needs to calculate their income tax (所得税), compute deductions, or import withholding slips. Trigger phrases include: "所得税を計算", "確定申告書を作成", "控除を計算", "源泉徴収票を取り込む", "所得税額", "納付額を計算", "還付額を計算", "第一表", "第二表", "申告書B", "所得控除",…
Langue du texte source : japonais
This skill should be used when the user asks to "integrate web api", "add web api", "connect to dataverse", "add api integration", "set up web api calls", "integrate api for my tables", "add crud operations", "hook up web api", "add data fetching", "connect…
Langue du texte source : anglais
Turn rough ideas into iron-clad work orders. Use when request is vague like "add a button", "make it better", "fix the thing". Triggers on ambiguous or underspecified requests.
Langue du texte source : anglais
This skill should be used when the user asks about the invoice system (インボイス制度), qualified invoices (適格請求書), registration numbers (登録番号), input tax credits (仕入税額控除), the 20% special measure (2割特例), the 30% special measure (3割特例), tax-exempt businesses…
Langue du texte source : japonais
Extracts reusable patterns from sessions. Use at session end to capture debugging insights and project-specific knowledge.
Langue du texte source : chinois
Computational analysis of Linear A inscriptions using Cyrus H. Gordon's Semitic hypothesis. This skill should be used when working with Linear A transliterations, Minoan language decipherment, inscription analysis, sign frequency or co-occurrence statistics,…
Langue du texte source : anglais
Build a LinkedIn content system for thought leadership. Use when someone needs to establish authority, attract inbound leads, or build a consistent content presence. Covers positioning, content pillars, formats, and posting rhythm.
Langue du texte source : anglais
Parse, search, analyze, and ingest LinkedIn GDPR data exports. This skill should be used when working with LinkedIn data — searching messages, analyzing connections, exporting to Markdown, or ingesting into RLAMA for semantic search. Requires a LinkedIn GDPR…
Langue du texte source : anglais
Secondary local LLM inference engine via llama.cpp. This skill should be used when running GGUF models directly, loading LoRA adapters for Kothar, benchmarking inference speed, or serving models via llama-server. Complements Ollama (which remains primary for…
Langue du texte source : anglais
Top orchestrator for complete doc system. Delegates to ln-110 coordinator (project docs via 5 L3 workers) + ln-120-150 workers. Phase 4: global cleanup. Idempotent.
Langue du texte source : anglais
Creates ALL task types (implementation, refactoring, test). Generates task documents from templates, validates type rules, creates in Linear, updates kanban. Invoked by orchestrators.
Langue du texte source : anglais
Updates ALL task types (implementation/refactoring/test). Compares IDEAL plan vs existing tasks, categorizes KEEP/UPDATE/OBSOLETE/CREATE, applies changes in Linear and kanban.
Langue du texte source : anglais
Executes Story Finalizer test tasks (label "tests") from Todo -> To Review. Enforces risk-based limits and priority.
Langue du texte source : anglais
Story-level quality orchestrator with 4-level Gate (PASS/CONCERNS/FAIL/WAIVED) and Quality Score. Delegates to ln-510 (quality) and ln-520 (tests), calculates final verdict.
Langue du texte source : anglais
Worker that checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates architectural decisions via MCP Ref: (1) Optimality (2) Compliance (3) Performance. Reports issues with SEC-, PERF-, MNT-, ARCH-, BP-, OPT- prefixes.
Langue du texte source : anglais
Coordinates 3 specialized documentation audit workers (structure, semantic, code comments). Detects project type, delegates parallel audits, aggregates results into docs/project/docs_audit.md.
Langue du texte source : anglais
Documentation structure audit worker (L3). Checks hierarchy & links, SSOT, proactive compression, requirements compliance, actuality (code vs docs), legacy cleanup, stack adaptation. Returns findings with severity, location, and recommendations.
Langue du texte source : anglais
Semantic content auditor (L3 Worker). Verifies document content matches stated SCOPE, aligns with project goals, and reflects actual codebase state. Called by ln-610 for each project document. Writes file-based report with scope_alignment and fact_accuracy…
Langue du texte source : anglais
Code comments audit worker (L3). Checks WHY-not-WHAT, density (15-20%), forbidden content, docstrings quality, actuality, legacy cleanup. Returns findings with severity, location, and recommendations.
Langue du texte source : anglais
Coordinates 9 specialized audit workers (security, build, architecture, code quality, dependencies, dead code, observability, concurrency, lifecycle). Researches best practices, delegates parallel audits, aggregates results into docs/project/codebase_audit.md.
Langue du texte source : anglais
Security audit worker (L3). Scans codebase for hardcoded secrets, SQL injection, XSS, insecure dependencies, missing input validation. Returns findings with severity (Critical/High/Medium/Low), location, effort, and recommendations.
Langue du texte source : anglais
Build health audit worker (L3). Checks compiler/linter errors, deprecation warnings, type errors, failed tests, build configuration issues. Returns findings with severity (Critical/High/Medium/Low), location, effort, and recommendations.
Langue du texte source : anglais
Code principles audit worker (L3). Checks DRY (10 types), KISS/YAGNI, error handling, DI patterns. Returns findings with severity, location, effort, pattern_signature.
Langue du texte source : anglais
Code quality audit worker (L3). Checks cyclomatic complexity, deep nesting, long methods, god classes, method signature quality, O(n²) algorithms, N+1 queries, magic numbers/constants. Returns findings with severity, location, effort, recommendations.
Langue du texte source : anglais
Dependencies audit worker (L3). Checks outdated packages, unused deps, reinvented wheels, vulnerability scan (CVE/CVSS). Supports mode: full | vulnerabilities_only.
Langue du texte source : anglais
Dead code & legacy audit worker (L3). Checks unreachable code, unused imports/variables/functions, commented-out code, backward compatibility shims, deprecated patterns. Returns findings.
Langue du texte source : anglais