AI & ML

sundial-org Skill

Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.

eivindeb Skill

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

eivindeb Bundle

Execute long-running tasks from an existing `.agent/tasks/.../TASK.md` until objective completion or explicit escalation. Use when an agent must run milestone-by-milestone with verification gates, regular progress heartbeats, repeated-error escalation, and evidence-backed final closure.

eivindeb Bundle

Create or normalize a persistent task agreement for long-running work before implementation begins. Use when an agent needs to define acceptance criteria, milestone verification, error escalation policy, evidence mapping, and final closure checks in `.agent/tasks/.../TASK.md`.

0xsarwagya Bundle

Plan SDK generation from Ontoly API, route, model, and operation evidence. Use when asked to design or scope SDK generation without implementing code generation in the skill layer.

0xsarwagya Bundle

Review repository architecture using Ontoly Software Graph and MCP capabilities. Use when asked to explain architecture, module boundaries, package topology, service ownership, or architectural risk.

orkas-ai Skill

The craft standard that makes a video GOOD, not just rendered — hooks, story pacing, visual hierarchy, type & safe zones, motion/easing, captions, audio mix, platform conventions, shot language, generation-prompt writing, and a pre-publish review. Trigger before scripting/storyboarding/composing/generating/editing on EVERY line, and again as the final review; do NOT trigger for tool mechanics (use the matching stage skill).

codenamev-claude-memory Skill

Prepare and publish a new gem release — bumps version across all required files, validates tests/linting/MCP server, commits, and creates the GitHub release. Use this skill when the user says "release", "publish a new version", "bump the version", "cut a release", "prepare for release", "ship it", or any variation of wanting to publish a new gem version. Also use when the user asks about the release process or what steps are needed to release.

runtypelabs Bundle

Design or audit an AI agent toolset; route naming, schemas, output, errors, execution, and security to focused guides.

runtypelabs Bundle

Inspect, debug, or manage a live Runtype account through MCP or CLI; mutate only within the requested scope.

runtypelabs Bundle

Design actionable agent tool errors, ambiguity handling, retry guidance, and fallback behavior.

runtypelabs Bundle

Design agent tool results, including pagination, partial success, context size, and actionable next steps.

runtypelabs Bundle

Design agent tool execution: async jobs, idempotency, timeouts, transactions, and compensation.

runtypelabs Bundle

Design agent-facing tool names, descriptions, and parameter schemas; diagnose incorrect tool selection or inputs.

get-maito Skill

Use when the user asks how to operate Maito end to end, connect Maito to an agent, manage a Maito workspace, run newsletter publishing, create social drafts, manage subscribers, inspect attribution, work with sponsors, or use authenticated Maito MCP tools.

tebjan Bundle

Helps write C# node classes for vvvv gamma — the [ProcessNode] lifecycle pattern, Update() method, out parameters, pin configuration, change detection, stateless operation nodes, the public-API import model, and service consumption via NodeContext (IFrameClock, Game access, logging). Use when writing a node class, adding pins, implementing change detection, accessing services in node constructors, creating stateless utility methods, or deciding whether a class needs [ProcessNode] at all. Requires the assembly to have one of [assembly: ImportAsIs] / [assembly: ImportNamespace] / [assembly: ImportType] set (see vvvv-node-libraries).

lewing Skill

Set up a stealth Squad on any repo without modifying tracked files — side-repo + symlinks + git exclude. USE FOR: stealth Squad, hidden Squad, Squad without committing, Squad on a repo I don't own, Squad symlink setup, try Squad without touching repo, consulting Squad. DO NOT USE FOR: normal Squad setup (just run npx github:bradygaster/squad directly), using Squad after setup (just use @squad agent).

lewing Bundle

Measure and reduce the per-session context cost of an MCP server's tool surface. USE FOR: auditing my MCP server tokens, where are my MCP tokens spent, shrink my tool surface, MCP context cost, tools/list cost, why is my MCP server expensive, measuring tool description size, compare MCP versions before/after, per-field MCP token breakdown, MCP token budget, ranking MCP tools by cost. DO NOT USE FOR: designing tool descriptions from scratch (use mcp-server-design), implementing MCP protocol mechanics, benchmarking tool latency or runtime cost (this skill measures static tool-surface tokens, not execution).

lewing Bundle

Guide MCP server design for agent consumption: tool descriptions, naming, knowledge tools, annotations. USE FOR: writing tool descriptions, naming tools, designing knowledge endpoints, reviewing MCP server design, adding tool annotations. DO NOT USE FOR: building skills that consume MCP tools (use skill-builder), MCP protocol implementation details.

lewing Bundle

Institutional knowledge for skill training — frontmatter rules, INVOKES patterns, stop signals, token budgets, anti-patterns, and eval integration. USE FOR: looking up skill-building conventions, understanding training methodology, creating Arena eval requests, checking external reference sources. DO NOT USE FOR: actually training a skill (use SkillTrainer agent), creating new skills from scratch (use skill-builder). INVOKES: no tools — pure knowledge skill.

thrownlemon Skill

Use when the user asks for a "second opinion", "third opinion", "what does GLM/Gemini think", or wants another model to weigh in on code, design, or review. Routes to the consult plugin's CLI which calls z.ai (GLM-5.2) or Gemini directly via API.

mikkelkrogsholm Skill

Expert knowledge on creating Agent Skills for Claude Code. Use when designing or creating SKILL.md files, understanding Skill structure, or implementing progressive disclosure patterns.

xpozpublic Skill

Run a one-shot buying-intent lead scan across Reddit, Twitter/X, Instagram, and TikTok using Xpoz. Finds fresh posts from people actively looking for what a product does or frustrated with its competitors, classifies and prioritizes them, and reports where to engage and who to reach. Use when asked to "find leads", "who is asking for a tool like mine", "find people complaining about [COMPETITOR]", "buying-intent scan", or "social selling opportunities".

xpozpublic Skill

One-shot GEO visibility check for a brand using Xpoz. Runs the buyer questions that matter through Claude, ChatGPT, and Gemini, and reports where the brand appears, who wins instead, and which surfaces the answers are assembled from. Use when asked to "check my AI visibility", "does ChatGPT recommend us", "GEO audit", "where do we show up in AI answers", or "who wins our category in AI answers".

xpozpublic Skill

Score an Instagram creator's (or a list of creators') audience authenticity and engagement quality using Xpoz. Measures real engagement rate against views rather than follower count, the bot/spam share of their comments, and an overall 0-100 authenticity score for influencer vetting and partner selection. Use when asked to "vet this influencer", "are their followers real", "check engagement quality for @username", "rate these Instagram accounts", "compare creators before a sponsorship", or when the user pastes a list of Instagram handles to evaluate.

makenotion Skill

Search the user's Notion workspace using the Notion MCP server. Use for finding pages, databases, and content by keywords or natural-language queries.

rivie13-phoenix-agentic-engine-interface Skill

Enforce branch hygiene, pre-commit validation, PR setup via GitHub MCP tools, and review follow-up workflow in the Interface repo.

mohamedabdallah-14 Skill

Humanize LLM output so it reads like a careful human wrote it. Subtracts AI-isms (sycophancy, tricolons, em-dash overuse, "delve"/"tapestry"/"testament", hedging stacks, tidy five-paragraph shapes), engineers burstiness and calibrated uncertainty, and preserves technical accuracy. Supports intensity levels: subtle, balanced (default), full, voice-match, anti-detector. Use when user says "humanize this", "make this sound human", "de-slop this", "rewrite without AI tone", "match my voice", "less robotic", or invokes /unslop. Also auto-triggers when text-quality is requested.

nvidia-ai-blueprints-aiq Bundle

Use when adding or changing a general-purpose AI-Q tool (a NeMo Agent Toolkit function) under sources/, defining its FunctionBaseConfig schema, registering it with @register_function, wiring it into an agent's tools list, or testing it.

nvidia-ai-blueprints-aiq Bundle

Use when adding or changing an AI-Q data source under sources/, registering it as a NeMo Agent Toolkit function, wiring it into the data_source_registry for UI toggles, or validating retrieval behavior with tests.

nvidia-ai-blueprints-aiq Bundle

Use when customizing AI-Q agent behavior through Jinja2 prompt templates or per-agent model selection — editing prompts under src/aiq_agent/agents/*/prompts/, adding template variables, or assigning/swapping LLMs per agent role via config (the llms section plus per-agent fields like orchestrator_llm, planner_llm, researcher_llm, writer_llm, source_router_llm).

nvidia-nemo-rl Skill

Testing conventions for NeMo-RL. Covers Ray actor coverage pragmas, nightly test requirements, and recipe naming rules.

nvidia-nemo-rl Skill

NVIDIA copyright header requirements for NeMo-RL. Covers which files need headers and the exact header text.

nvidia-nemo-rl Skill

Contribution conventions for NeMo-RL. Covers PR title format, commit sign-off, and CI triggering.

nvidia-nemo-rl Skill

Error handling guidelines for NeMo-RL. Covers exception specificity, minimal try bodies, and else blocks.

nvidia-nemo-rl Skill

Agent-team-based parallel code review for NVIDIA-NeMo/RL pull requests. Spawns specialized agents (RL expert, submodule experts, bug finder, design reviewer, test agent, devil's advocate, comment reviewer) that coordinate via shared task list and direct messaging. Leader orchestrates, collates ALL findings, and presents to user for approval before posting.