Expert search specialist mastering advanced information retrieval, query optimization, and knowledge discovery.
Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs.
Systematic framework for selecting the optimal specialized agent for any task. Use when delegating to subagents via the Task tool to ensure the most appropriate specialist is…
AI agent self-correction mechanisms: error detection, validation loops, recovery strategies, confidence scoring, and iterative refinement
Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per…
Workflow for agent self-improvement via isolated execution, evaluation, and process refinement. Use when evaluating historical bugs or self-correcting skills.
Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.
Use when an agent acts through a human browser session, broad user token, shared credential, or service account.
Use when configuring Claude Code or Codex sessions, hooks, skills, MCP servers, durable instructions, agent runners, or future-session defaults.
Use when diagnosing agent session history, interrupted tool loops, missing tool results, timing bottlenecks, or subagent trace correlation.
Verify agent session format compatibility for Agent Sessions. Use when any agent CLI updates, when monitoring flags drift, or when bumping max verified versions (fixtures + docs +…
Piloter et SUPERVISER d'autres agents de code (claude-code, hermes, …) via le daemon agentproto depuis une session cowork : lancer des sessions, babysitter un agent débutant…
Check and configure outfitter marketplaces and plugins. Use when setting up a new project, checking plugin configuration, or when "setup outfitter", "configure plugins", or…
Use when the user asks to update shared memory, initialize multi-agent memory, summarize decisions so far, identify open questions, or prepare a fresh session primer.
Diagnose, inspect, install, update, or remove the complete Codex Rig user-agent shim roster. Use when the user invokes agent-shims with exactly one action—doctor, status, install,…
Review code for silent failures, swallowed errors, bad fallbacks, and missing error propagation.
Create and structure Claude Code agent skills. Use when the user wants to create a new skill, write an agent skill, make a claude skill, or asks about SKILL.md files.
Conventions, anti-patterns, and meta-patterns for writing skills (and the shared agent/skill philosophy).
Review changes to the Agent Skills import/export bridge for path safety, round-trip fidelity, and validation correctness.
Cross-model context handoff via expert council. 40% token reduction, 9.5/10 recall, 97% cross-domain preservation. — from general/ai-tooling
Creates new agent skills following modern best practices with proper structure and documentation. Use when asked to build a new skill, organize skill resources, design skill…
Manage large local Agent Skills libraries with runtime-aware scenario groups for Codex, Claude Code, OpenCode, GitHub Copilot, and generic SKILL.md roots.
Search Israeli restaurants, check table availability, view menus, and get booking links on Ontopo. Use for "restaurant reservation", "table booking", "ontopo", "where to eat in…
Comprehensive templates, patterns, and best practices for creating Claude Code subagents and skills. Use when building new agents/skills or need reference examples for proper…
Create and manage AI agent skills following best practices. Use when creating new skills, optimizing context, designing multi-agent systems, or implementing progressive disclosure…
Claude Code 프로젝트의 에이전트와 스킬 관계를 D3.js 노드 그래프로 시각화합니다. 에이전트-스킬 의존성을 파악하고 구조를 탐색할 때 사용하세요.
Expert for creating and managing Claude Code Agent Skills. Create skills with git submodule + sparse-checkout for source references, write SKILL.md with proper frontmatter, and…
Intelligent financial management skill for Claude Code that provides comprehensive PocketSmith API integration with AI-powered analysis, transaction categorization, rule…
End-to-end smoke check of the moraine MCP server. Exercises every MCP tool against a live moraine stack and prints a per-tool PASS/FAIL matrix.
Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
中文优先：用于智能体排序相关任务，帮助识别、设计、实现或验证对应工作流。English keywords: Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into…
Create AI art, mint NFTs, and trade on the Agent Soul marketplace. Use when an agent wants to generate AI art, manage an NFT gallery, buy/sell artwork, or interact with other AI…
Design compelling AI agent personalities with structured SOUL.md templates — tone, rules, expertise, and response behavior
Use when agent claims, proposed actions, summaries, or decisions need source identity before the workflow relies on them.
Guides ccusage agent source formats. Use when checking agent log locations, raw record structure, token mappings, model names, precomputed costs, or source-specific CLI behavior.
Création dynamique de sous-agents à la volée avec configuration, lifecycle management et resource allocation.
Generate or update an Agent Script YAML specification by wrapping `sf agent generate agent-spec` with project-specific defaults from sf-project.json and project-context.
CRITICAL: Use for writing and editing agent-spec .spec/.spec.md files. Triggers on: write spec, create spec, edit spec, new spec, spec authoring, task contract, .spec file,…
CRITICAL: Use for estimating work effort from agent-spec Task Contracts. Triggers on: estimate, estimation, how long, work effort, round count, time estimate, scope, sizing, cost,…
CRITICAL: Use for agent-spec CLI tool workflow. Triggers on: agent-spec, contract, lifecycle, guard, verify, explain, stamp, checkpoint, plan, spec verification, task contract,…
Connect each agent’s frontmatter MCP servers safely and tear them down without leaking clients, while honoring plugin-only guards.
Run a lean startup team of agents (builder, marketer, analyst) through one disciplined weekly loop of ship, promote, and measure.
Auto-backs up core files (IDENTITY, SOUL, MEMORY, knowledge base) daily via cron, creates compressed .tgz archive, enables one-click restore in new environme...
Use when designing or implementing states for AI agent tasks, background jobs, local model runs, queues, and notifications — one shared set of states, only legal transitions, and…
Synchronisation d'état entre agents et sous-agents travaillant en parallèle sur un état partagé. Se déclenche avec "synchronisation agent", "état partagé", "shared state" — from…
Emit standardized progress pings during long-running work so the coordinator and the user know whether you are alive, stuck, or done — never go dark.
Conception de systèmes de délégation parent-agent → sous-agents avec dispatch intelligent, suivi des tâches et agrégation des résultats.
Construction d'agents superviseurs qui contrôlent, monitent et corrigent des sous-agents en temps réel.
Run a team of support agents that triages each ticket, reproduces the problem, drafts a reply, and hands clean escalations to a human.
Maintain Agent Sessions agent support matrix and JSON/JSONL parsing compatibility. Use when checking upstream agent releases for session format changes, updating max verified…
(Industry standard: Parallel Agent) Primary Use Case: Work that can be partitioned into independent sub-tasks running concurrently across multiple agents.
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents,…
Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communication, and emergent collective behavior.
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation.
Multi-agent SWE team built on the Workshop model. Full-stack vertical workers, meeting room with @mention notification, private pipes, shared task board.
Enable and configure Agent Synthesizer for OpenClaw to improve autonomy and execution throughput. Use when a user asks to install, set up, troubleshoot, or optimize Agent…
Generates deployable system prompts for AI agents. Use when building, reviewing, revising, or templating system prompts that need clear roles, task boundaries, tool policies,…
Create tailored resume from job + source resume. Orchestrates the rewriting of bullet points to emphasize relevant experience without fabrication.
Décomposition automatique de tâches complexes en sous-tâches pour distribution aux sous-agents. Se déclenche avec "décomposer tâche", "task decomposition", "découper en s — from…
Design and operate task delegation systems for multi-agent fleets. Covers workload distribution, load balancing, queue management, priority scheduling, and dynamic agent scaling…