Claude Skills by theheavenlyd3mon

Append and read Notion block content — paragraphs, headings, lists, code, to-do, images, and all block types.

Log API usage costs and model spending to the Notion Cost Tracker database.

Register and track cron jobs in the Notion Cron Job Registry database.

Create, query, update schema, and manage Notion databases (data sources) via the API.

Log architecture decisions, model swaps, config changes, and provider switches to the Notion Decision Log database.

Create, read, update, and archive Notion pages — both standalone pages and database entries.

Log research results to the Notion Research Vault database — from cron jobs, subagents, and investigate sessions.

Search across a Notion workspace — find pages, databases, and content by query.

Manage the Notion Task Inbox — create tasks from GitHub, chat, Obsidian, and manual entry. Central triage point.

Systematic audit and cleanup of an Obsidian vault: detect clutter, structural drift, oversized files, dual folders, and icarus accretion, then decompose into kanban tasks.

Author live widget apps for the Hermes TUI dock.

Wiki research-pipeline: overflow and verification.

Ingest a source into Team-Wiki: capture raw, extract entities, create/update pages, cross-link

Daily lint and health-check: orphans, broken links, index completeness, tag audit, log rotation

Research pipeline worker for the wiki: ingest weekly findings files, apply threshold/duplicate/contradiction rules, create or update wiki pages with researcher frontmatter, and batch-update index and log.

Bootstrap Team-Wiki directory with SCHEMA.md, index.md, log.md, and folder READMEs

Synchronize Team-Wiki markdown with GBrain database (cron-friendly or daemon mode)

Audit and patch a repo's Markdown documentation for tone consistency, section-skeleton drift, dead relative links, and stale boilerplate. Use when asked to review READMEs, guides, profile docs, or any markdown corpus, and return exact diffs or a per-file verdict instead of summary prose.

Host modded Minecraft servers (CurseForge, Modrinth).

Play Pokemon via headless emulator + RAM reads.

Manage your Radarr (movies) and Sonarr (TV series) media library from the terminal. Search and browse movies/series, add new content, check calendars, view queue and download history, inspect quality profiles, and trigger searches. Use when the user mentions Radarr, Sonarr, the *arr stack, adding a movie or series, checking the library, finding something to watch, what's in the queue, download history, upcoming releases, media server setup, or movie/TV automation.

Query your Jellyfin media server from the terminal — recently added movies and episodes, search across your library, browse libraries, and check server info and stats. Use when the user asks about Jellyfin, media server, movies, TV shows, recently added content, or their media library.

Interact with the Last.fm music data API: lookup user listening history, get artist/album/track metadata, discover similar music via collaborative filtering, explore global and per-country charts, search by artist/album/track, manage tags, and scrobble listening events. Use when the user asks about music data, listening statistics, music recommendations, similar artists, charts, or wants to scrobble or love tracks.

Manage your Lidarr music library from the terminal. Search and browse artists and albums, add new artists, check calendars, view queue and download history, inspect quality and metadata profiles, and trigger searches. Use when the user mentions Lidarr, music management, adding an artist, searching for music, checking the music library, upcoming album releases, or download queue.

Browse PeerTube federated video from the terminal: view videos and channels, search across instances, check server stats, and manage your account. Uses OAuth2 authentication with token persistence. Use when the user mentions PeerTube, federated video, decentralized video platforms, or browsing/uploading to a PeerTube instance.

Manage your Prowlarr indexer hub from the terminal. List and inspect indexers, view query/grab statistics, check health, manage connected *arr applications and download clients, browse search history, and test indexer connectivity. Use when the user mentions Prowlarr, indexers, indexer management, testing indexers, search history, or the indexer hub.

Search and discover movies, TV shows, and trending content via The Movie Database (TMDb) API v3. Use when the user asks about movies, TV, film, cinema, genres, certifications, ratings, cast, upcoming releases, or trending media.

Discover trending, anticipated, and popular movies and TV shows via the Trakt.tv API from the terminal. No authentication required for read-only discovery. Use when the user asks about what to watch, trending movies, popular shows, or media discovery.

Manage Transistor.fm podcast hosting from the terminal: view shows, list episodes, check analytics, and get subscriber counts. Use when the user mentions Transistor, podcast hosting, podcast analytics, show management, or episode tracking.

Batch extraction pipeline for multiple YouTube playlists — URL discovery, rate-limited web_extract, checkpoint/resume, cron scheduling, retry logic.

Author live widget apps for the Hermes TUI dock.

Omni-model audio/video understanding MCP tools: segmented captioning with timestamps, ASR (plain / controllable-granularity / multi-speaker diarized), temporal grounding (locate a segment by text query), and event/action counting. Use for questions about WHAT is said/happens in an audio or video file and WHEN, on clips up to a few minutes.

Editing-director skill that OWNS every video task built from EXISTING REAL FOOTAGE the user supplies (vlog, montage, intro, recap, eating/travel/family edits, style replication, compositing, subtitles, voiceover, B-roll). When footage files are the input, use THIS skill first — not the generic hyperframes entry and not the general-video workflow: it contributes footage judgment (selection, pacing, beat-sync, sound, looks, per-scene design) and then hands the designed composition to the HyperF...

Triggered for long videos (30+ minutes), whether a single file or a directory of multiple videos. Vision-language MCP tools designed for efficient reading and semantic analysis of long videos (30+ minutes), supporting memory construction and semantic search.

Orchestrate large fan-out work as a plan-in-code "workflow" so the agent's context holds only the final verified answer, not the exhaust of hundreds of intermediate steps. Use for codebase-wide sweeps, large migrations, multi-angle research, and any task too big for one context window where the split strategy is known enough to script. Includes the adversarial-convergence verification recipe (independent attempts + refuters, keep only surviving claims).

Design, run, review, or release framework- and vendor-neutral evaluations and observability for AI agents. Use when defining agent evals, datasets, graders, trajectory review, regression analysis, release gates, production traces, or privacy-aware telemetry. Covers task and trajectory contracts, statistical comparisons, and incident-to-case learning; route framework implementation to pydanticai or langgraph when needed.

Expert skill for building LLM applications with LangChain — LCEL chains, RAG pipelines, agent orchestration, LangGraph integration, LangSmith observability, and production deployment via LangServe. Use when working with LangChain or comparing LLM application frameworks.

Build multi-agent AI systems with LangGraph — the low-level orchestration

Expert skill for building LLM applications with the LlamaIndex framework — RAG pipelines, multi-agent orchestration, event-driven workflows, knowledge graph construction, production deployment, and evaluation. Use when working with LlamaIndex or comparing RAG and agent orchestration frameworks.

Machine learning engineering methodology — model training, fine-tuning

Build type-safe AI agents and graph-based workflows with PydanticAI and PydanticGraph. Agent creation, function tools, capabilities, dependency injection, structured output, streaming, multi-agent patterns, testing, evals, and graph state machines. Use whenever you are building agents, tool-using LLM workflows, or graph-based state machines in Python.

Verify work against explicit criteria using direct, source-faithful evidence, reproducible checks, and clear verdicts. Use before declaring an artifact, implementation, or claim complete; do not use for exploratory research without pass/fail criteria.

Run PyTorch training across GPUs with minimal changes.

Expert guidance for using NVIDIA NIM (NVIDIA Inference Microservices) — cloud-hosted AI models via OpenAI-compatible API. Covers environment setup, model discovery, API usage, local NIM deployment, and integration patterns.

OBLITERATUS: abliterate LLM refusals (diff-in-means).

Evaluate local LLMs for agent/coding tasks — BenchLoop harnesses, coding agent selection, tool-calling format matching, and community-tested setups.

Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.

Author live widget apps for the Hermes TUI dock.

Design motivation systems using Autonomy, Mastery, and Purpose (AMP) for products and teams. Use when the user mentions "intrinsic motivation", "gamification isnt working", "team incentives", "autonomy", "mastery", "purpose-driven", "employee engagement", or "reward systems". Also trigger when designing onboarding progression systems, fixing broken gamification, or building team structures that sustain high performance. Covers why carrot-and-stick fails and how to build progress systems. For ...

Evaluate the skills ecosystem (registry + web + GitHub) to identify installed skills, recommend installations, and map gaps requiring custom skill creation for long-form AI-assisted fiction pipelines. Use when setting up a new book-writer profile, expanding from short-novel to multi-book scope, or assessing pipeline capability before committing to a series pitch.