AI & ML

ven0m0 Skill

Help users configure and troubleshoot Kilo CLI, KiloCode Gateway, and agent settings. Use when discussing kilo.jsonc configuration, model selection, MCP servers, rules, or skills.

ven0m0 Bundle

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends the agent's capabilities with specialized knowledge, workflows, or tool integrations.

ven0m0 Skill

Rules and patterns for writing agent definitions under claude/agents/. Use when creating or editing .md agent files.

ven0m0 Skill

Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.

est7 Bundle

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

est7 Skill

Detailed usage guides for MCP services (Sequential Thinking, Context7, Async MCP, GitHub, Google Developer Knowledge, Codebase Retrieval) and multi-tool collaboration patterns. Use when you need guidance on how to use a specific MCP service or combine multiple MCP services for complex tasks.

est7 Bundle

Use the JetBrains IDE MCP Server (IntelliJ IDEA 2025.2+) to let an external client drive IDE-backed actions: run Run Configurations, execute commands in the IDE terminal, read/create/edit project files, search via IDE indexes (text/regex), retrieve code inspections for a file, fetch symbol info, perform rename refactoring, list modules/dependencies/repos, open files in the editor, and reformat code. Use when you want IDE-grade indexing/refactoring/inspection instead of raw shell scripting.

est7 Bundle

Uses the packaged async-agent-backend binary to run Claude, Codex, or Gemini tasks asynchronously or synchronously from this repository. Use whenever the user asks to submit background agent jobs, run headless provider tasks, wait for completion, stream logs, cancel tasks, or expose the local backend over MCP.

eins78 Bundle

Use when decisions happen async — reviewer(s) look at it over chat, on a PR, on a train, or any time outside the agent session. Triggers: async decision, PR review, pull request, remote reviewer, handoff, away-from-keyboard, decision ballot, architecture call, architecture decision record, ADR, hiring panel, vendor selection, household decision, reconcile, per-reviewer, tick box, ballot.

seanspiesman Skill

Guidelines for using the Context7 MCP server to fetch real-time documentation and code examples.

eins78 Bundle

Get AI code review from a second model (Gemini/OpenAI) mid-session via CLI. Use when asked to review code, get a second opinion, check quality, or verify implementation — especially in unfamiliar stacks. Triggers on /ai-review, "review this", "get a second opinion", "check with another model".

eins78 Bundle

Use when setting up a dedicated Chrome browser for Playwright MCP with session persistence, or when encountering Cloudflare challenges during browser automation. Covers CDP setup, launchd auto-start, and persistent login sessions.

eins78 Bundle

Convene a council of ~4 frontier models via the OpenRouter API for independent parallel reviews of a PR, plan doc, or files, then synthesize agreements and dissents in-session. Use for high-stakes or contested changes, before irreversible decisions, or when one extra model's opinion is not enough — costs real money per run. Triggers on /ai-council-review, "council review", "panel review", "multi-model review", "review with multiple models", "ask several models", "get a third opinion", "high-stakes review", "openrouter review". For a quick single-model second opinion, use ai-review instead.

seanspiesman Skill

Guidelines for running long-lived processes (servers, watchers) without blocking agent execution.

seanspiesman Skill

Core architectural patterns for local AI agents (Reflection, Planning, Tool Use, Multi-Agent, Memory).

pskoett Skill

Monitors context window health throughout a session and rides peak context quality for maximum output fidelity. Activates automatically after plan-interview and intent-framed-agent. Stays active through execution and hands off cleanly to simplify-and-harden and self-improvement when the wave completes naturally or exits via handoff. Use this skill whenever a multi-step agent task is underway and session continuity or context drift is a concern. Especially important for long-running tasks, complex refactors, or any work where degraded context would silently corrupt the output. Trigger even if the user doesn't say "context surfing" — if an agent task is running across multiple steps with intent and a plan already established, this skill is live.

pskoett Skill

How to drive the 14-workflow agent factory in this repo from a Claude session. Covers: when to use the factory vs. direct edits, how to start the chain, where the human gates are, how to pick an implementer, how to recover from stuck PRs, and all the failure modes learned to date. Use this skill when the user asks you to ship a feature, fix, or refactor through the factory; when they reference an existing issue or PR in the factory chain; when a workflow is stuck or misbehaving; or when you need to file issues or plan files that the factory will pick up. Do NOT use this skill for: single-file scratch edits on an untracked branch, research questions, one-shot script runs, or any work that does not produce a PR to main.

pskoett Skill

Frames coding-agent work sessions with explicit intent capture and drift monitoring. Use when a session transitions from planning/Q&A to implementation for coding tasks, refactors, feature builds, bug fixes, or other multi-step execution where scope drift is a risk.

emasoft-ai-maestro-integrator-agent Bundle

Use when verifying pre-merge quality gates — CI green, branch protection compliant, required reviews approved, no unresolved review threads, evidence file present, TDD commit sequence valid, no merge conflicts. Trigger with /amia-enforce-gates, 'check quality gates', or any pre-merge / pre-release readiness request. Loaded by ai-maestro-integrator-agent-main-agent.

viktor-ferenczi Bundle

Recursive Language Model workflow for processing documents that exceed context window limits. Uses a persistent Python REPL and subordinate agents to chunk, search, and analyze large context files.

emasoft-ai-maestro-integrator-agent Bundle

GitHub label taxonomy reference for the Integrator Agent. Use when managing PR reviews, updating PR status, or applying review labels. Trigger with review label requests. Loaded by ai-maestro-integrator-agent-main-agent.

emasoft-ai-maestro-integrator-agent Bundle

Use when merging pull requests, checking merge status, or configuring auto-merge. Trigger with merge, auto-merge, or readiness verification requests. Loaded by ai-maestro-integrator-agent-main-agent.

emasoft-ai-maestro-integrator-agent Bundle

Use when enforcing TDD via RED-GREEN-REFACTOR. No production code without a failing test first. Trigger with /enforce-tdd. Loaded by ai-maestro-integrator-agent-main-agent.

emasoft-ai-maestro-integrator-agent Bundle

Use when monitoring PR checks. Trigger with CI status, check verification, or PR readiness requests. Loaded by ai-maestro-integrator-agent-main-agent.

emasoft-ai-maestro-integrator-agent Bundle

Use when retrieving PR context including metadata, diff, and changed files for code review planning. Trigger with /review-pr [PR_NUMBER]. Loaded by ai-maestro-integrator-agent-main-agent.

emasoft-ai-maestro-integrator-agent Bundle

Use when integrating GitHub Projects. Trigger with GitHub sync, label setup, or PR workflow requests. Loaded by ai-maestro-integrator-agent-main-agent.

guifav Bundle

Reviews pull requests, diffs, and proposed changes as the senior engineer who gets paged when it breaks in production. **Pragmatic version:** optimized for velocity with guaranteed minimum review coverage. One automated reviewer (Claude Code) + lightweight checklist for author + GitHub Actions gating. Multi-model (Codex + Kimi) is optional for production-critical changes only.

guifav Bundle

Integration architect for multi-app monorepos — shared contracts, API-first design with OpenAPI, cross-app auth, auto-generated SDKs, and full MCP server scaffolding per app

guifav Bundle

Pre-production validation gate for Vercel/Supabase/Firebase stack — generates test plans, executes test suites, validates APIs, UI, toasts, LLM output quality, and produces go/no-go reports

dqz00116 Skill

Use when controlling Unity editor via AI, automating scene operations, or programmatically generating Unity assets and scripts

emasoft-ai-maestro-integrator-agent Bundle

Use when coordinating PR review work as orchestrator. Defines delegation rules, verification, and completion criteria. Trigger with /start-pr-review [PR_NUMBER]. Loaded by ai-maestro-integrator-agent-main-agent.

emasoft-ai-maestro-integrator-agent Bundle

Software release management and coordination. Use when creating releases, bumping versions, or rolling back deployments. Trigger with release tasks or /amia-create-release. Loaded by ai-maestro-integrator-agent-main-agent.

emasoft-ai-maestro-integrator-agent Bundle

Use when reviewing pull requests. Trigger with PR review or code quality requests. Loaded by ai-maestro-integrator-agent-main-agent.

dqz00116 Skill

Use when the current Agent LLM cannot process images directly and visual analysis is needed — bridges images through KimiCode CLI print mode to a multimodal Kimi model for text description

azure-azure-sdk-for-js Bundle

Author new samples in samples-dev/ for newly added ai-projects features (agent tools, operations, namespaces). Use when the public API surface (review/ai-projects-node.api.md) gains new classes, methods, or namespaces after a TypeSpec regeneration and example code is needed. Bucket each addition into the right samples-dev/<feature>/ folder and validate with npm run build:samples.

emasoft-ai-maestro-integrator-agent Bundle

Use when managing team tasks through GitHub Projects V2 or synchronizing project state via GraphQL API. Trigger with /sync-projects or when updating project items. Loaded by ai-maestro-integrator-agent-main-agent.