Agent Skills

A collection of skills for AI coding agents. Skills are packaged instructions that extend agent capabilities with domain-specific knowledge.

Skills follow the Agent Skills format.

Install

npx skills add vladmdgolam/agent-skills

Or install a specific skill:

npx skills add vladmdgolam/agent-skills --skill cinema4d-mcp

Available Skills

cinema4d-mcp

Cinema 4D MCP expert for extracting scene data, writing C4D Python scripts, and controlling Cinema 4D through MCP tools.

Use when:

• Using Cinema 4D MCP tools (get_scene_info, list_objects, execute_python_script, etc.)
• Writing Python scripts for C4D extraction or manipulation
• Working with MoGraph cloners, effectors, and fields
• Baking animation data from C4D scenes
• Debugging C4D Python API errors

Covers:

• 7 critical C4D API gotchas (world/local coords, visibility constants, sequential stepping, etc.)
• MoGraph extraction and animation track discovery patterns
• When to use structured MCP tools vs execute_python_script
• Known error tables with fixes (Python API + MCP tool errors)
• Redshift availability matrix
• Timeout management and chunked baking strategies

blender-mcp

Blender MCP expert for scene inspection, Python scripting, GLTF export, and material/animation extraction.

Use when:

• Using Blender MCP tools (get_scene_info, execute_python, screenshot, etc.)
• Writing Blender Python scripts for scene extraction or manipulation
• Exporting scenes to GLTF/GLB for web (Three.js, R3F)
• Debugging material or texture export losses
• Optimizing GLB files with gltf-transform
• Using asset integrations (PolyHaven, Sketchfab, Hyper3D Rodin, Hunyuan3D)

Covers:

• 7 critical rules (export timeouts, modifier handling, Draco pitfalls, name mapping, etc.)
• Scene hierarchy, material, and animation extraction patterns
• Headless CLI export (bypasses MCP timeout)
• Material export survival matrix (what survives GLTF, what doesn't)
• Texture optimization pipeline (resize → WebP → Draco)
• Known error tables with fixes (MCP, export, Python API, texture paths)

time-lens

Analyze and visualize time spent on software projects by combining data from multiple sources: WakaTime coding time, git commit session detection, Claude Code usage, Codex CLI usage, and Cursor IDE usage.

Use when:

• Analyzing work hours or calculating time spent on a project
• Generating a work hours report or visualizing coding activity
• Creating a project time breakdown
• Summarizing development effort across date ranges

Covers:

• 5 data sources: WakaTime API, git sessions, Claude Code prompts, Codex CLI prompts, Cursor IDE prompts
• Interactive HTML dashboard (dark-themed, Chart.js)
• Markdown report with ASCII charts
• Reconciliation logic across overlapping sources

pdf-look-scanned

Make PDF documents look like they were scanned on a physical scanner, with optional signature replacement.

Use when:

• Making a PDF look scanned (grayscale, noise, blur, rotation, edge shadows)
• Replacing digital signatures with real handwritten ones from a source PDF
• Preparing documents that need a "printed and scanned" appearance

Covers:

• Configurable scan effects (DPI, noise, blur, contrast, JPEG quality)
• Signature extraction from source PDFs (phone photos, scans)
• Multi-signature replacement on different pages
• Coordinate discovery workflow for signature placement
• Metadata considerations

figma-context-mcp

Expert guide for using the Figma Context MCP (Framelink) efficiently while avoiding 429 rate-limit errors.

Use when:

• Using Framelink Figma MCP tools (get_figma_data, download_figma_images)
• Fetching Figma designs for code generation
• User hits 429 rate limits from Figma API
• Extracting design tokens or component data from Figma
• Downloading Figma assets/images
• Any design-to-code workflow involving Figma URLs

Covers:

• Metadata-first, prune-first, fetch-last pipeline (2-3 API calls instead of dozens)
• Depth-limited node tree fetching to keep responses <500 KB
• Batch image downloads with deduplication
• Plan-tier awareness (limits tied to file owner's plan, not yours)
• Rate-limit diagnostics and recovery steps
• Common anti-patterns that cause 429 lockouts
• Alternative workflows when rate-limited (screenshots, manual export)

visual-feedback-loop

AI agent visual feedback loop for capturing and inspecting rendered output from any web app during iterative development.

Use when:

• Iterating on visual code (UI, canvas, 3D, SVG, charts, animations)
• You need to SEE the rendered result to evaluate quality
• Doing visual QA or A/B comparison of render variants

Covers:

• Dev-screenshot API pattern (GET trigger → SSE → client capture → POST back → file saved)
• Parameterized offscreen rendering with custom params
• WebMCP tool registration for Chrome Canary agents
• Console and Chrome MCP fallbacks
• Next.js reference implementation

Adding Skills

Each skill lives in skills/<skill-name>/ with a required SKILL.md and optional references/, scripts/, and assets/ directories.

License

MIT