Skills in diesem Repository
SkillsMP hat 355 Skills aus grahama1970/agent-stack-public gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
grahama1970/agent-stack-publicEs werden 40 von 355 gesammelten Skills angezeigt.
Best practices for Ask one-shot runs: the same question to N seats concurrently, answers returned per seat with no consensus, no judge, and no quorum. Use when a user asks several models one question and wants to read each answer, when partial answers are…
Quellsprache: Englisch
Deck ARCHITECTURE rules for building pitch decks from source material — measured from a real 263-slide corpus, not invented. Use when planning a deck's sections and slide sequence, when deciding which source images become slides, or when reviewing whether a…
Quellsprache: Englisch
Best practices for orchestration-ready task files. Enforces adversarial testing, skill chain syntax, definition-of-done requirements, gate definitions, persona routing, and /model directives. Referenced by /plan and /review-plan.
Quellsprache: Englisch
Best practices for porting features from one codebase, app, harness, TUI, API, or workflow into another without losing destination-specific behavior. Use when users ask to port, clone, migrate, replicate parity, achieve functional equivalence, borrow…
Quellsprache: Englisch
Standards and workflow for creating root-level PROJECT_STATE.md reports from local receipts, project knowledge, stale/aspirational audits, competitor research, and external reviewer evidence. Use when asked for project state, comprehensive project review,…
Quellsprache: Englisch
Repo-specific Python best practices for agentic coding: Loguru + Typer + uv + pyproject.toml, httpx over requests, functions-first, module docstrings, max 800 LOC per file, and non-mocked sanity tests.
Quellsprache: Englisch
React, Next.js, React Native, and web design best practices from Vercel Engineering. Use when writing, reviewing, or refactoring React/Next.js/React Native components, optimizing performance, auditing UI accessibility, or designing component APIs. Triggers:…
Quellsprache: Englisch
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or…
Quellsprache: Englisch
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js…
Quellsprache: Englisch
Standards and templates for writing concise, welcoming, evidence-aware README.md files for agent-skills skills, public project pages, gallery card destinations, architectural playground repos, and developer-facing docs. Use when creating or reviewing README…
Quellsprache: Englisch
Produce evidence-bearing technical reports and report UIs without dashboard theater. Use when creating or reviewing reports, HTML/CSS report surfaces, implementation reviews, design reviews, application inventories, validation readouts, evidence ledgers,…
Quellsprache: Englisch
Best practices for leading multi-model Ask roundtables and Tau-DAG deliberation panels. Use when a user asks for a roundtable, model panel, mixed web/API collaborator discussion, multi-round critique, attributed dissent synthesis, or guidance on turning…
Quellsprache: Englisch
Repo-specific Rust best practices for agentic coding: thiserror + anyhow error handling, tokio async runtime, tracing for observability, clap for CLI, axum for HTTP, serde patterns, cargo workspace conventions, ownership and lifetimes, and idiomatic Rust 2024…
Quellsprache: Englisch
Error recovery and anti-patterns for scillm LLM proxy. Load this when scillm calls fail, timeout, or return unexpected results. Covers batch sizing, header requirements, model selection, and debugging workflow.
Quellsprache: Englisch
General application, service, plugin, and agent security hardening baseline. Use before /hack, /security-scan, /code-runner probe generation, or security review. Grounded in OWASP ASVS, OWASP Cheat Sheet Series, Node.js security guidance, and agent/plugin…
Quellsprache: Englisch
Deterministic coded self-improvement loops for *-lab skills. The agent will NOT do this reliably — loops MUST be in code. Proven pattern from Classifier Lab: data_enrichment.py + training_loop.py.
Quellsprache: Englisch
Best practices for designing and structuring agent skills: SKILL.md frontmatter rules, triggers, progressive disclosure, and when to use scripts vs references.
Quellsprache: Englisch
Slide design craft for /pitchdeck: assertion headlines, distance-legible chrome, multi-channel reinforcement, density limits, audience-parameterized arcs, responsive browser presentation, and house theme templates. Use when planning, drafting, critiquing, or…
Quellsprache: Englisch
Best practices for the SPARTA pipeline: data model, edge persistence, QRA generation, ArangoDB collections, and common gotchas learned the hard way.
Quellsprache: Englisch
Project-specific best practices for the Stream Deck control suite: icon format constraints, socket vs config boundaries, widget button lifecycle, page creation via build_page, ArangoDB fallback patterns, and NVIS palette compliance.
Quellsprache: Englisch
Canonical contract, tool-policy vocabulary, memory/ToM-lite rules, helper delegation, receipt requirements, and retry budgets for Scillm/OpenCode/$loop subagents and persona workers.
Quellsprache: Englisch
Best practices for authoring, reviewing, and repairing Tau DAG contracts. Use when creating tau.dag_contract.v1 YAML/JSON, choosing project-agent subagent roles, declaring immutable goals, adding skill gates such as best-practices-prompt/react/python,…
Quellsprache: Englisch
Guided onboarding walkthrough for new Embry OS users via Embry Lawson persona
Quellsprache: Englisch
Free web, local, LLM Context, and optional Summarizer search via Brave Search API. Use when user says "brave search", "search with brave", "brave web search", "brave local search", "local search", "find businesses near", "near me", "Brave LLM context", or…
Quellsprache: Englisch
Persistent browser-oracle tab bindings and directory walk-up registry for WebGPT, Cursor Browser, Gemini, Kimi, and Claude. Binds tab id / viewId + URL once under ~/.pi; maps directories to project names via .ask/browser-oracles.yaml discovered like…
Quellsprache: Englisch
Authorization-gated CAPTCHA security evaluation using the pinned ReCAP agent, synthetic dynamic CAPTCHA challenges on loopback, Surf transport proof, and Ask DAG composition. Use when the user says "evaluate CAPTCHA security", "benchmark ReCAP", "test a local…
Quellsprache: Englisch
Research and decide visual casting for persona-dream/movie entities before contact-sheet generation. Use when a story, screenplay, storyboard, or visual_entities.json needs characters, creatures, props, environments, moods, time periods, states, or…
Quellsprache: Englisch
Copy the last complete Cursor user/assistant turn to the clipboard (Codex-style /copy). On modern Cursor Agent installs reads ~/.cursor/projects/*/agent-transcripts/*.jsonl when SQLite bubbleId rows are absent. Use for ccopy, cursor copy, or export last…
Quellsprache: Englisch
Session grading and cataloging for the learning flywheel. Stores checkpoints in ArangoDB via httpx to memory daemon — findable by BM25, semantic search, and multi-hop graph traversal. Grades sessions with a 5-level rubric, stores proven/failed skill chains…
Quellsprache: Englisch
Centralized Chutes.ai LLM gateway as a shared Docker service. Global 5-slot semaphore enforces account concurrency limit across all agents. Single and batch calls with tenacious retry mode, circuit breaker, fallback chain, NDJSON streaming, and structured…
Quellsprache: Englisch
Multi-modality classifier training lab. Train, evaluate, and deploy vision, text, and tabular classifiers using state-of-the-art backbones.
Quellsprache: Englisch
Validate subagent reliability by running 3 concurrent classifier training loops. Each subagent runs /classifier-lab (deterministic code) and reports via JSON stream. The subagent's only job: run the skill, fix crashes, write /test-lab tests. 90% code, 10%…
Quellsprache: Englisch
Normalize text to handle PDF/Unicode encoding issues and security evasion. Converts Windows-1252, curly quotes, em/en dashes, ligatures, directional formatting, zero-width chars, and more to clean ASCII. Security extensions: homoglyph translation,…
Quellsprache: Englisch
Assess the project to reorganize or deprecate unused/outdated files. Joins each candidate against per-candidate dependency evidence, blocks mutation per class on the evidence that class actually needs, and keeps assessment running when indexing is unavailable.
Quellsprache: Englisch
Copy files, zips, images, screenshots, artifacts, or bundles to the desktop clipboard as file-manager paste items. Use when the user says copy a file to clipboard, copy a zip to clipboard, copy an image to clipboard, put this artifact on the clipboard, or…
Quellsprache: Englisch
Copy files, bundles, zips, images, screenshots, artifact paths, or text to the desktop clipboard with verified KDE/GNOME-compatible MIME targets. Use when the user says "$clipboard", "copy to clipboard", "put this on clipboard", or asks to copy a…
Quellsprache: Englisch
Assess CMMC Level 2/3 compliance by mapping NIST SP 800-171 controls to Embry OS features and detected configurations. Generates gap analysis reports.
Quellsprache: Englisch
Deterministic code review skill with T0 validators (best-practices-*, ruff, compile) and LLM-powered findings (codex/scillm). Scores findings by severity, keeps suggested fixes advisory, and fails closed on provider errors. Structured JSON output. Replaces…
Quellsprache: Englisch
Minimal deterministic code runner for bounded implementation tasks. Runs one LLM backend through /scillm inside a disposable git worktree, enforces a write allowlist, runs a deterministic definition of done, and returns an allowlist-scoped patch artifact for…
Quellsprache: Englisch
High-reasoning agentic bridge via OpenAI Codex CLI. Supports gpt-5.3-codex with optional reasoning effort. Use for complex analysis, code generation, and structured extraction. Watchdog stall detection and task-monitor integration for long-running calls.
Quellsprache: Englisch