cso
cso
Security audit: supported static findings; qualified profiles add reproduction and repair candidates. (gstack)
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design-html
design-html
Design finalization: generates production-quality Pretext-native HTML/CSS. (gstack)
clean-up-comments
clean-up-comments
Use when reviewing templates, rendered HTML, or shared components related to Remove comments and debug code in production. Validate the final browser-facing markup, not just the source framework abstraction.
console-cleanup
console-cleanup
Use when reviewing scripts, client components, bundles, or runtime behavior related to Remove console statements in production. Inspect both source code and the browser execution path so fixes target the real bottleneck or bug.
content-security-policy
content-security-policy
Use when reviewing headers, forms, cookies, or third-party integrations related to Implement a content security policy. Validate the effective browser and HTTP behavior in a production-like environment.
error-monitoring
error-monitoring
Use when setting up a new project's production observability stack, reviewing incident response readiness, or investigating why errors are going undetected.
password-field-security
password-field-security
Use when reviewing headers, forms, cookies, or third-party integrations related to Secure password input fields. Validate the effective browser and HTTP behavior in a production-like environment.
robots-meta
robots-meta
Use when applies to all HTML pages. Use when auditing pages that have disappeared from search results or when checking staging vs. production meta tag parity.
source-maps
source-maps
Use when auditing slow page loads, heavy assets, or rendering delays related to Provide source maps for production debugging. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
video
video
When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use when the user mentions 'video production,' 'AI video,' 'Remotion,' 'Hyperframes,' 'HeyGen,' 'Synthesia,' 'Veo,' 'Sora,' 'Runway,' 'Kling,' 'Seedance,' 'Hailuo,' 'MiniMax,' 'Pika,' 'Hunyuan,' 'Wan,' 'video generation,' 'AI avatar,' 'talking h…
cobrapy
cobrapy
Performs constraint-based metabolic modeling with COBRApy, including FBA, pFBA, FVA, gene knockouts, flux sampling, growth media, production envelopes, gap filling, and SBML model validation for systems biology and metabolic engineering.
molecular-dynamics
molecular-dynamics
Runs and analyzes molecular dynamics simulations with OpenMM and MDAnalysis. Sets up protein/small molecule systems, defines force fields, runs energy minimization and production MD, and analyzes trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and biophysics.
ncats-arax
ncats-arax
Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships. Use for Biolink-constrained RTX-KG2 lookup, explicit selected-provider ARAX federation, separate entity normalization, qualifier-aware graph traversal, and inspection of TRAPI edge bindings, publi…
ai-engineer
ai-engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
ai-engineering-toolkit
ai-engineering-toolkit
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
ai-product
ai-product
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.
airflow-dag-patterns
airflow-dag-patterns
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
airflow-dag-patterns
airflow-dag-patterns
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
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An independently imported catalog with original authors, licenses and source links. Classification is not a security audit.
Sources and import coverage