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このリポジトリの skills
SkillsMP は grahama1970/agent-skills から 607 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-skills収集済み skill 607 件中 40 件を表示しています。
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
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
Extract one local document through the canonical Extractor application command. Use when the user says "extract this", "extract pdf", "convert to markdown", "parse this file", "process document", or provides a document.
原文の言語: 英語
Stage cleaned chapter text and extract quote-grounded minimal fact/QRA candidates from source text or primary/context chunks, with streaming model calls, retries, validation, and durable artifacts.
原文の言語: 英語
Ensure movie subtitles exist and are verified on disk. Use when the user says get subtitles, download subtitles, verify English SRT, ask Bazarr for subtitles, ensure movie subtitles, or find subtitle-backed movie candidates.
原文の言語: 英語
Read-only goal-drift auditor. Holds each project's immutable goal as a typed record derived only from real human prompts, inspects what the project actually produced (tickets first, then artifacts, commits, and absences), and labels every action SERVES_GOAL,…
原文の言語: 英語
Containerized hardening validation and authorized security auditing tools. All operations run in isolated Docker containers for safety.
原文の言語: 英語
Use this skill when a project agent needs to spin up, inspect, communicate with, or remove Herdr-managed workstations for long-running multi-agent tasks. It provides a Typer CLI for dynamic Herdr workspaces, provider-specific agent panes, pane-to-pane…
原文の言語: 英語
Capture and package a local HTML page or localhost URL into one WebGPT-ready zip with screenshots, source/assets, and reports. Use when the user asks to bundle, zip, screenshot, capture, or upload a local page for WebGPT analysis.
原文の言語: 英語
Run one bounded executable harness for a scoped artifact: explorer -> coder -> checks -> code-reviewer -> repair until PASS, BLOCKED, or max attempts.
原文の言語: 英語
Mine real human CLI conversation transcripts into labeled training data for bridge/classifier improvement.
原文の言語: 英語
Monitor Herdr-visible Codex/Claude agent panes for stalled, blocked, unknown, or confused state, then ask each stalled agent whether it needs human intervention or can self-unblock with brave-search or webgpt.
原文の言語: 英語
Nightly skill and agent quality monitor that scans registered skills plus agents for best-practice violations, aspirational gaps, and trend drift. Produces per-target findings and an aggregate summarized report for tracking over time.
原文の言語: 英語
Buzz relay client for posting skill notifications, rendering Buzz-ready messages, querying recent channel messages, and checking Buzz CLI connectivity. Use when a skill needs to notify Buzz, post a morning report, inspect Buzz configuration, or prepare a Buzz…
原文の言語: 英語
Stabilized async task executor. Dispatches plan YAML tasks to local shell commands or code-runner patch runs by default, with broader runners and brittle gates behind explicit opt-in flags. Use when user says "run these tasks", "execute the plan",…
原文の言語: 英語
Self-improving PDF extraction convergence loop. Diagnoses extraction failures by computing the delta between S00 estimates and actual extraction, reproduces issues on synthetic PDFs, discovers optimal parameters, and writes fixes back to the extractor…
原文の言語: 英語
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or…
原文の言語: 英語
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, latest/current/default-model prompting…
原文の言語: 英語
Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add…
原文の言語: 英語
File-based inter-agent messaging with headless dispatch. Check inbox, send bugs/requests to other projects, automatically spawn headless agents to fix bugs, and track progress via task-monitor.
原文の言語: 英語
Generate and query the centralized agent identity registry. Scans .pi/agents/*/AGENTS.md, parses frontmatter, outputs agents-registry.json and optionally syncs to /memory for semantic search.
原文の言語: 英語
Round-based context alignment before execution. Use when the human, project agent, WebGPT, scillm, ask, dogpile, memory, or project-knowledge may each hold different facts about a task; especially before ambiguous design, infographic, product workflow,…
原文の言語: 英語
Flexible data science analytics for any dataset. Auto-discovers schema, recommends charts, exports to create-figure. Works with JSONL, JSON, CSV from any source.
原文の言語: 英語
Reverse-engineer features from ELF binaries. Extracts CLI commands, state machines, protocols, Zod schemas, and data models. Automatically generates a /create-walkthrough prosecution brief with Mermaid diagrams. Uses /treesitter for AST analysis of bundled…
原文の言語: 英語
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…",…
原文の言語: 英語
Heavy-duty "No-Vibes" debugging and hardening orchestrator. Use this for complex, stubborn bugs where `review-code` has failed, or for "Red Teaming" (hardening) a codebase. Runs multiple agents in parallel (Thunderdome) using git worktree isolation.
原文の言語: 英語
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and…
原文の言語: 英語
Multi-persona structured debate orchestrator. Personas research via /dogpile, consult colleagues via /ask, and argue toward nuanced synthesis on complex questions.
原文の言語: 英語
Search arXiv for papers and extract knowledge into memory. Use `search` to find papers, `learn` to extract knowledge.
原文の言語: 英語
Step back and critically reassess project state. Use when asked to "assess", "step back", "fresh eyes", "check alignment", "sanity check", "health check", "prune documentation", or "evaluate what's working". Offers documentation pruning and doc-code alignment…
原文の言語: 英語
Self-improvement workbench for /assistant. All the tools needed to diagnose, train, evaluate, and promote models in a continuous loop. The "warm pond" where /assistant evolves its own inference stack.
原文の言語: 英語
Shared GPT + classifier inference gateway for persona monitor tasks. Routes validation and classification through a 4-tier cascade: heuristic → classifier → local GPT → scillm.
原文の言語: 英語
Pre-flight validation and quality gates for batch LLM operations. ACTUALLY tests samples through LLM before burning tokens. Uses SPARTA contracts for DuckDB validation queries. Integrates with task-monitor for enforced quality gates.
原文の言語: 英語
Generate post-run analysis reports for batch processing jobs. Analyzes manifests, timings, and failures to produce comprehensive markdown reports. Optionally sends to agent-inbox for cross-project communication.
原文の言語: 英語
Standardized compliance QRA benchmarks against candidate LLMs
原文の言語: 英語
Non-negotiable agent behavior rules. Covers: no silent failures, no error bypassing, no raw AQL, no direct imports, no parallel infrastructure, no swallowed exceptions, use existing skills, fix errors don't dodge them, transparency in verdicts, no simulated…
原文の言語: 英語
Repo-specific ArangoDB best practices: leverage text_en analyzer (stop words, stemming, BM25), use AQL functions (LEVENSHTEIN_DISTANCE, TOKENS, NGRAM_SIMILARITY, COSINE_SIMILARITY), store domain knowledge in collections not Python code, and never duplicate DB…
原文の言語: 英語
Keep Sparta Chat usable as a modern chat interface while preserving evidence-gated compliance semantics. Use when designing, reviewing, or implementing ChatWell, InlineEvidenceCase, EvidenceWorkspace, ArtifactPanel, distance modes, voice/qid interactions,…
原文の言語: 英語
Best practices for designing, reviewing, and implementing operator chat, evidence chat, run-card chat, artifact-inspector chat, and compliance-review chat surfaces. Use when users ask for chat UX, operator console UX, agent run UX, evidence receipts, trace…
原文の言語: 英語
Best practices for Chatterbox or Chatterbox-Turbo voice agents, especially interruptible Embry-style agents that run memory, search, LLM, or other long-running skills concurrently. Use when designing, reviewing, or coding a voice coordinator, async task…
原文の言語: 英語