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Found 3,130 Skills
Proposal-first development workflow with commit hygiene and decision authority rules. Enforces: propose before modifying, atomic commits, no force flags, warnings-as-errors. Use for any project where AI agents are primary developers and need guardrails.
Blender MCP expert for scene inspection, Python scripting, GLTF export, and material/animation extraction. Activate when: (1) using Blender MCP tools (get_scene_info, execute_python, screenshot, etc.), (2) writing Blender Python scripts for extraction or manipulation, (3) exporting scenes to GLTF/GLB for web (Three.js, R3F), (4) debugging material or texture export losses, (5) optimizing GLB files with gltf-transform, (6) using asset integrations (PolyHaven, Sketchfab, Hyper3D Rodin, Hunyuan3D). Covers critical export gotchas, material mapping survival, texture optimization pipeline, headless CLI patterns, and known failure modes.
Use this skill to build, run, deploy, evaluate, and troubleshoot Go agents with Google's Agent Development Kit (`google.golang.org/adk`), including llmagent config, tools/integrations, callbacks/plugins, sessions/state/memory, workflows, streaming, MCP/A2A, and runtime/deployment patterns.
Query, monitor, and analyze jobs on IBM i using SQL table functions via ibmi-mcp-server. Use when user asks about: (1) finding jobs by status, user, subsystem, or type, (2) monitoring active job performance (CPU, I/O, memory), (3) detecting long-running SQL statements, (4) analyzing lock contention, (5) checking job queues, (6) replacing WRKACTJOB, WRKUSRJOB, WRKSBSJOB, WRKSBMJOB commands, or (7) any IBM i work management task.
Build and operate Convex backends: functions (queries/mutations/actions/http actions), schemas, auth patterns, scheduling (cron/scheduled/workflows), file storage, testing, and debugging. Triggers: "convex", "query", "mutation", "action", "httpAction", "schema", "validator", "cron", "schedule", "workflow", "workpool", "ctx.db", "ctx.auth", "convex dev".
Deploy and manage Azure Kubernetes Service clusters. Configure node pools, networking, and integrations. Use when running Kubernetes workloads on Azure.
Review Python dependencies for known security advisories, stale version pins, and unsafe upgrade paths. Use when users ask for dependency security reviews, requirements or lockfile audits, upgrade planning, pre-release risk checks, or remediation prioritization for Python projects.
Start team, run dev servers, and read PROMPT.md if present.
CI/CD pipelines, deployment strategy, and infrastructure. Use when setting up GitHub Actions workflows, choosing deployment platforms, configuring production environments, securing pipelines with OIDC, optimizing build performance, building container images, measuring DORA metrics, or setting up Docker multi-stage builds.
Generates engaging blog posts from source materials or topic briefs. Supports listicles, tutorials, how-to guides, narrative essays, and thought leadership. Handles research, outlining, drafting, SEO optimization, and polishing. Use when writing a blog post, creating a listicle, turning research into an article, writing a tutorial, or asking "write a blog post about this."
Removes AI writing artifacts from documentation and code. Use when editing LLM-generated prose, reviewing READMEs, polishing docs before publishing, or cleaning up AI-generated code. Use for emdash cleanup, formulaic phrase removal, tone calibration, over-commented code, verbose naming, and AI code smell detection.
Deterministic CI/CD interaction patterns. Push-and-wait discipline, failure triage, self-healing for lint/format/infra failures, structured output for pipeline consumption. Activate when interacting with CI/CD systems.