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Found 6,145 Skills
Claude Code skill (trtllm-agent-toolkit): implement or extend TensorRT-LLM AutoDeploy fusion transforms under transform/library/ in a TensorRT-LLM checkout. Prefer existing kernels and custom ops; use Triton only when no viable existing-kernel path exists. Use ad-graph-dump for AD_DUMP_GRAPHS_DIR workflows. Covers TRT-LLM paths, registry, default.yaml registration, graph validation, tests, and a review checklist — without prescribing profiling tools or throughput targets.
Build local-only executive assistant workflows with OpenClaw using file-based data intake, operational memory, and communications triage
Technology-agnostic guidance for modular systems: bounded contexts, clear boundaries, composability, state isolation, explicit contracts, failure containment, scaffolding workflows, split/merge criteria, sub-units inside a context, and compliance review signals. Use when designing or reviewing module structure, service boundaries, package layout, cross-cutting dependencies, "how should we split this?", modularity assessments, coupling between domains, greenfield context design, or architecture discussions without assuming a specific framework, language, or repository layout. Do NOT use for executing the full Patterns 1–5 repo decomposition pipeline or per-pattern inventories (use modular-decomposition), phased extraction roadmaps as the main deliverable (use decomposition-planning-roadmap), or end-to-end legacy migration strategy (use legacy-migration-planner).
SurgeGraph is the Answer Engine Optimization (AEO) platform that tracks AI citations, scores pages for citation readiness, and one-click fixes the gaps — now every workflow runs from the terminal or any agent. Trigger phrases: `what changed in SurgeGraph this week`, `AI Visibility for my project`, `which prompts lost AI citations`, `publish gap articles from a topic research`, `what knowledge libraries actually show up in citations`, `use surgegraph`, `run surgegraph`.
Author step content for Novu workflows defined in the Dashboard or generated/edited via the Novu MCP. Use when filling in step controls (subject, body, editorType, headers, body, conditions) for email, in-app, sms, push, chat, delay, digest, throttle, or HTTP Request steps.
Industry-adaptive B2B newsletter creation with stage, role, and geography-aware workflows
Manage Harness Internal Developer Portal (IDP) resources via MCP. Create service catalog templates, configure self-service environment provisioning workflows, generate service documentation, create Architecture Decision Records (ADRs), and design developer onboarding workflows. Use when asked to set up a service catalog, create self-service workflows, generate service docs, write ADRs, or onboard new developers. Do NOT use for service scorecards (use scorecard-review instead). Trigger phrases: service catalog, self-service, developer portal, IDP, onboarding workflow, ADR, architecture decision, service documentation, catalog template, developer experience, backstage.
Scaffold the test framework and CI/CD pipeline for the project's engine. Creates the tests/ directory structure, engine-specific test runner configuration, and GitHub Actions workflow. Run once during Technical Setup phase before the first sprint begins.
Write, push, run, publish, and manage Kaggle Benchmark tasks using the kaggle CLI and the kaggle-benchmarks Python SDK. Use when the user wants to create or push a benchmark task (optionally with attached Kaggle datasets), run benchmarks against LLM models, check task/run status, stream or fetch execution logs, download results and source notebooks, publish a task to make it public, or troubleshoot benchmark workflows.
Rojo, Wally, Selene, StyLua, Lune, Aftman, luau-lsp, filesystem workflows, CI pipeline.
Lift a proven skill from a host repo (e.g. your OpenClaw fork) back into gbrain's bundle so other clients can scaffold it. Editorial workflow: the CLI does the file copy + privacy lint; this skill drives the judgment-heavy genericization (scrub real names, generalize triggers, lift fork-specific conventions to references).
Use when importing a new model architecture into MAX from a Hugging Face model ID. Triggers on: "import a model into MAX", "add model to MAX", "bring up <HF model> in MAX". Workflow: inspect Hugging Face config and modeling code, scaffold from a similar MAX architecture, implement each graph layer to match HF, serve, then debug against the Hugging Face reference until outputs match.