Generate scene-specific music using ACE-Step 1.5 via Dockerized FastAPI. Supports reference audio for theme continuity across scenes. Integrates with Federated Taxonomy (HMT) for multi-hop graph traversal in /memory.
原文の言語: 英語
このリポジトリの skills
SkillsMP は grahama1970/agent-stack-public から 355 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
grahama1970/agent-stack-public収集済み skill 355 件中 40 件を表示しています。
Generate scene-specific music using ACE-Step 1.5 via Dockerized FastAPI. Supports reference audio for theme continuity across scenes. Integrates with Federated Taxonomy (HMT) for multi-hop graph traversal in /memory.
原文の言語: 英語
Grammarly-like sentence decomposition with NVIS confidence colors. Decomposes question text into annotated fragments showing which entities resolved, which are misspelled, which are fabricated, and which are unknown. Composes /extract-entities for grounding…
原文の言語: 英語
Orchestrate sound effects (SFX) selection and placement per scene. Integrates with sfx-catalog for library access and memory for learning. Multi-round collaborative workflow with auto-approve for pipeline mode.
原文の言語: 英語
Create receipt-backed status surfaces and Tau DAG handoff contracts from local progress, gate, and checker receipts. Use when a workflow needs a global progress bar, evidence status board, local readiness surface, or robust Tau connection without claiming…
原文の言語: 英語
Audio stem separation using Demucs (4-stem or 6-stem) and optional UVR ensemble. Uses the Python API entrypoint for clean error handling. GPU-accelerated, local-first.
原文の言語: 英語
Creative writing orchestrator for Horus persona. Multi-phase workflow: Initial Thought → Research (movies, books, memory, past) → Dogpile Context → Iterative Writing (2-3 drafts with critiques). Supports all formats: short stories, screenplays, podcast…
原文の言語: 英語
Transform screenplay output from /create-story into animatics with camera framing, visual panels, and timing. Highly collaborative - the skill acts as a creative cinematographer, making suggestions and asking questions throughout the process. Integrates with…
原文の言語: 英語
Create, iterate, and deploy dynamic Stream Deck button pages. Design context-aware layouts that auto-switch based on active window, voice mode, or running skills. Evaluate layouts against ground truth, self-correct, and store winners as memory-backed…
原文の言語: 英語
Per-surface visual styleguide lifecycle — capture, annotate with token callouts, audit via /review-design, track token debt, and detect visual drift between rounds. Composes /create-design-board and /review-design into a repeatable pipeline.
原文の言語: 英語
Create, restyle, preview, and validate self-contained themed SVG diagrams and animations for any surface — READMEs, websites, pitchdecks, docs, artifacts. Use when a user asks for an animated SVG, an animated README SVG, a reusable SVG style preset, a dark…
原文の言語: 英語
Train vision classifiers for Camelot table extraction strategy prediction. Uses MobileNetV2 with GRPO training and Camelot execution feedback. Integrates with Federated Taxonomy for preset-aware predictions.
原文の言語: 英語
Create PDF tables using ReportLab Table class for proper structure detection. Creates tables that Marker and other extractors can parse. Use when you need detectable tables in PDFs.
原文の言語: 英語
Deterministic public-domain text corpus chunker with seeded selectors for reproducible sampling across engineering/government corpora.
原文の言語: 英語
Collaborative argumentative walkthrough for complex implementations. REQUIRES /interview (user context) and /ask consult (persona review) BEFORE writing. Combines claim verification, Mermaid diagrams, structured tables, and adversarial human review into a…
原文の言語: 英語
Detect, classify, and mark Controlled Unclassified Information (CUI) per 32 CFR Part 2002. Scans documents and ArangoDB collections for CUI indicators, applies proper markings, and tracks CUI flow through the system.
原文の言語: 英語
Control and inspect Cursor Cloud Agents through the official Cursor Agents API. Use this when users ask for Cursor Agents, webcursor, cursor.com/agents control, Cursor Cloud Agent runs, Cursor agent usage, or Cursor agent API checks.
原文の言語: 英語
Unified Embry OS development dashboard. Aggregates daemon health, LLM metrics, shadow agreement, cascade state, skill health, active tasks, Chutes quota, and project-state into a single Rich TUI, JSON, or plain-text view.
原文の言語: 英語
Report on data completeness for the SPARTA QRA pipeline (Control -> URL -> Knowledge -> QRA). Queries DuckDB to show coverage percentages at each stage.
原文の言語: 英語
Automated URL fetch failure handling with strategy exhaustion, memory learning, and human-in-the-loop recovery. Use when fetches fail and you need intelligent retry, pattern learning, and human collaboration.
原文の言語: 英語
Automated PDF failure analysis and fixture generation. Takes failed PDF URLs, identifies breaking patterns, and generates minimal fixtures via fixture-tricky for regression testing. Supports batch mode and combined stress test generation.
原文の言語: 英語
Force the project-agent to use a real debugger instead of guessing: set breakpoints where the problem might be, stop execution at those breakpoints, inspect live variable state, and analyze the observed runtime state before patching. Use when a project agent…
原文の言語: 英語
Discover new books using OpenLibrary API with Federated Taxonomy integration. Recommends books based on subjects, authors, and HMT bridge attributes. Can be invoked via /dogpile books.
原文の言語: 英語
Search and retrieve cinematic 3D LUTs (.cube) from web sources or cache.
原文の言語: 英語
Discover new movies using TMDB API with Federated Taxonomy integration. Recommends movies based on genres, directors, and HMT bridge attributes. Can be invoked via /dogpile movies.
原文の言語: 英語
Discover new music using MusicBrainz and ListenBrainz APIs. Recommends music based on Horus taste profile and HMT bridge attributes. Can also be invoked via /dogpile music.
原文の言語: 英語
Discover actors and reference talent via TMDB API with HMT taxonomy. Find actors by name, filmography, or bridge attributes. Used by create-cast for character reference discovery.
原文の言語: 英語
Compatibility shim for legacy distill callers. Forwards to /doc2qra while preserving the historical CLI interface.
原文の言語: 英語
Convert any document (PDF, URL, text) into Question-Reasoning-Answer pairs with a document summary. Stores to memory for later recall.
原文の言語: 英語
Deep research aggregator that searches Brave (Web), GitHub (Code/Issues), ArXiv (Papers), YouTube (Videos), optional Context7 library docs, and optional feed/archive/book sources. Provides a consolidated Markdown report with an ambiguity check, grounded…
原文の言語: 英語
Model integrity monitor. Detects LLM quality degradation via active probes (NIAH, SKILL.md extraction) and passive signals (hook denials, transcript corrections, duplicate reads). CUSUM drift detection on quality time series. D3 dashboard for visualization.
原文の言語: 英語
Verifies relationships between a source text (e.g. Episode, Task) and existing Knowledge Graph lessons. Runs KNN/Hybrid search to find candidates, then uses LLM (scillm) to verify "verifies", "contradicts", or "related" stances with strict rationales.
原文の言語: 英語
Verifies relationships between a source text (e.g. Episode, Task) and existing Knowledge Graph lessons. Runs KNN/Hybrid search to find candidates, then uses LLM (scillm) to verify "verifies", "contradicts", or "related" stances with strict rationales.
原文の言語: 英語
Dual-backend embedding service for semantic search. Text-only (MiniLM, 384d) and multimodal (Qwen3-VL-Embedding-2B via vLLM, 2048d). Persistent Docker containers with automatic routing by modality.
原文の言語: 英語
Read and explain Embry OS configuration from embry.yaml
原文の言語: 英語
Skill wrapper for the Embry Dashboard (Tauri app). Launch, navigate tabs, and screenshot the dashboard for design review.
原文の言語: 英語
Agent-readable Embry voice control-plane contract for speaking, listening, cancelling, replaying, and inspecting live voice/chat turns. Use when a project agent needs to control Embry Chatterbox voice, RealtimeSTT listener state, shared Chat UX…
原文の言語: 英語
This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.
原文の言語: 英語
Episodic Memory Archiver. Stores full conversation transcripts with embeddings and analysis into ArangoDB. Tracks UNRESOLVED sessions for reflection with structured failure episodes (trigger/diagnosis/action/outcome), K~4 similar failure retrieval, user…
原文の言語: 英語
Behavioral evaluation of skills using fixture-based test cases. Runs eval.json fixtures per skill to verify correct output, exit codes, latency budgets, and compose chain pipelines. Produces transparent Markdown and JSON reports with diffs for failures.…
原文の言語: 英語
Self-improving evidence case convergence loop. Runs question banks against /create-evidence-case, diagnoses mismatches, and tracks convergence across cycles.
原文の言語: 英語