Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
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Skills that do not fit the categories above (14.2K skills)
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
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Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or ...
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Master modern Angular state management with Signals, NgRx, and RxJS. Use when setting up global state, managing component stores, choosing between state solutions, or migrating from legacy patterns.
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Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
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Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Cov...
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Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.
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Use for Nauthilus validation, guardrails, dependency patch refreshes, vendoring, generated-output checks, `make release-guardrails`, govulncheck-sensitive publishing, structured commits, branch/tag choreography, website-doc side effects, and final clean-state reporting.
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Publish a released version of the Apache SkyWalking AI Sessionizer LangChain plugin, apache-skywalking-asz-langchain, to PyPI. Says what a release manager sets up before the first upload, downloads the voted source package, verifies it, builds the source distribution and the wheel from plugins/langchain inside it, checks and installs them, and uploads them with twine. Use after a version is published.
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Add released versions of Apache SkyWalking AI Sessionizer to its Homebrew tap, Formula/ on main in apache/skywalking-ai-sessionizer. Writes asz@VERSION from the voted packages, moves asz to the newest version, checks every formula with brew, and opens a pull request to main in this repository. Use after a version is published, or to add older released versions.
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Add released versions of Apache SkyWalking AI Sessionizer to its apt repository, static/apt in apache/skywalking-website, which the website serves at https://skywalking.apache.org/apt. Verifies the voted .deb packages, adds them to the index with apt-ftparchive, signs the index with the release manager's key, writes the .htaccess redirects, installs through them with apt, and opens a pull request to apache/skywalking-website. Use after a version is published.
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Validate sequencing and cross-layer readiness before phase slicing, including coverage and consistency hard gates
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Context-aware remapping of stale parent shard references to new sub-shard targets after shard split operations
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Scaffold project/workspaces, apply base structure and configs, and verify dev server startup gate
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Scan downstream specs for contradictions with locked decisions and apply approved fixes with consistency checks
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Create new CFSA Antigravity skills following the kit's skill format. Handles brainstorming, SKILL.md generation, references, and MANIFEST.md registration.
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Pre-scan decision types, collect downstream references, classify contradictions, and write propagation scan report
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Systematic ambiguity resolution through tiered information gathering. Use when facing unclear requirements, unknown context, uncertain implementation choices, or any situation where guessing would be risky.
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Per-surface tech stack decision tables and development tooling options. Use during /create-prd-stack to present constraint-filtered options to the user.
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Semantically merge upstream kit changes while preserving project-specific values and recording sync state
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Execute production-readiness gates with applicability control, consolidate validation report, and issue final readiness verdict
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Use when about to claim work is complete, fixed, or passing — requires running verification commands and confirming output before making any success claims. Evidence before claims, always.
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Classify target IA shard for BE extraction, load stack skills, and produce a complete referenced-material inventory
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Run iterative IA deepening, finalize shard, update indexes/tracker, and enforce ambiguity gates before handoff
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Author FE spec files, update indexes/tracker, run deepening and ambiguity gates, and enforce navigation completeness before plan-phase handoff
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