ingest-skill

Execution engine: typed FFmpeg/ffprobe tools every delegating Skill runs on (the owners above it decide; it runs), plus preflight checks and cut-list export

16 skills

Screen recording of a task into a how-to guide and a SKILL.md

2 skills

Subtitle validation, SRT/WebVTT generation, burn-in, and animated captions generated from subtitle cues

2 skills

Verifies AI-generated documents (scripts, caption scripts as documents, reports; caption files belong to subtitle-skill and qc-skill) and issues evidence-backed receipts

1 skill

Gain, mix, loudness normalization (ffmpeg-skill is the engine), dynamics, denoise, filler and silence removal

1 skill

Headless Blender: inspect, convert, optimize and render 3D assets (needs Blender installed)

1 skill

Market data ingestion — feed normalization, OHLCV vectorization, and HNSW-indexed pattern matching

2 skills · 1 command · 1 agent

28 best practice rules for ClickHouse schema design, query optimization, and data ingestion — prioritized by impact

11 skills

Ingests GP packages, runs valuation template, stages LP reporting

4 skills · 1 agent

gbrain persona variant for coding agents: the brain-first coding skill set (retrieval, routing, ingest discipline, correction hygiene) — a curated subset of the full plugin. Install exactly one gbrain plugin per machine.

21 skills · 1 MCP server · hooks

A second brain for Claude Code + Obsidian inspired by Karpathy's LLM Wiki gist. Turn any LLM CLI into a disciplined wiki maintainer: incrementally ingest sources into a persistent, interlinked markdown vault; update entity/concept/source pages; flag contradictions; maintain index and append-only log. Knowledge compounds instead of being re-derived by RAG on every query. Ships 3 sub-agents (wiki-ingestor, wiki-librarian, wiki-linter), 5 slash commands (/wiki-init, /wiki-ingest, /wiki-query, /wiki-lint, /wiki-log), 8 Python tools (stdlib only: init_vault, ingest_source, update_index, append_log, wiki_search BM25, lint_wiki, graph_analyzer, export_marp), 8 reference docs, full vault templates (CLAUDE.md, AGENTS.md, cursorrules, 5 page templates), and a worked example vault. Cross-tool compatible with Claude Code, Codex CLI, Cursor, Antigravity, OpenCode, and Gemini CLI.

1 skill · 5 commands · 3 agents

Agent-Native Research Artifact (ARA) tooling: compile any research input (paper, repo, notes) into a structured artifact, record session provenance as a post-task epilogue, and run Seal Level 2 epistemic review. Use when ingesting research into a falsifiable, agent-traversable artifact, capturing how a research project actually evolved, or auditing an ARA for evidence-claim alignment.

98 skills