Skills Plugins MCP Prompt Model 博客 我的中心
生活与工具 #agent #mcp

deliberation

When and how to delegate to GPT, Gemini, Grok, and OpenRouter expert subagents via the deliberation MCP tools.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=antonbabenko-deliberation-plugins-deliberation-skills-deliberation-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name deliberation description When and how to delegate to GPT, Gemini, Grok, and OpenRouter expert subagents via the deliberation MCP tools. Deliberation Host-neutral guidance for any AI coding agent connected to the deliberation MCP server. This file is standalone on purpose - it is not an include of CLAUDE.md, so it stays portable across hosts (Cursor, Codex, Kiro, Windsurf, Zed, and others). Claude Code users get the same routing from CLAUDE.md and the README; this file is for everyone else. What deliberation is A single MCP server that exposes GPT (via the Codex CLI), Gemini 3 (via the Antigravity CLI), Grok (via the xAI API), and OpenRouter models (400+, advisory) as expert subagents. You stay the primary agent. When a task benefits from a second opinion or cross-model review, call one of the tools below, read the result, and apply your own judgment. GPT and Gemini can also implement changes; Grok and OpenRouter only advise. Tools Fan-out and single-provider: ask-all - send one question to GPT, Gemini, Grok, and configured OpenRouter models in parallel, get every answer back independently (no cross-talk). consensus - run the FULL multi-round convergence loop server-side with a provider arbiter (blind pass + peer fan-out -> adjudicate -> revise) and get the converged verdict in one call. Depth is consensus.maxRounds (config, default 5); pass maxRounds to override. Pass synthesizeAlways:true for a SINGLE arbiter synthesis pass instead of the loop (best for open questions): it returns a free-text synthesis (the enum verdict and converged / confidence are null, rounds is 1). Set a concrete consensus.arbiter (a provider or openrouter:<alias> ) for the server-side pass; in host mode the tool returns the opinions for YOU to synthesize. An optional blind pre-vote ( consensus.blindVote ) is available on the synthesize path. consensus-step - drive the loop yourself as the arbiter, one action per call: init (returns a sessionId + blind prompt) -> record_blind (your pre-commit verdict) -> dispatch_peers (the server fans out to the panel) -> submit_adjudication (your verdict + per-issue accept/dismiss/defer, each dismiss needs a reason) -> submit_revision (your revised plan), looping until converged or the round cap. State is held server-side by sessionId (ephemeral). dispatch_peers may report droppedProviders[] - peers the circuit breaker removed after 2 consecutive failed rounds, so they are no longer dispatched or billed; print them once, and stop listing them as errored. It can also return a TERMINAL status: "unresolved" with stopReason all-providers-circuit-broken (every peer dropped), no-providers , or budget-exhausted ( consensus.maxWallMs spent) - report the reason and the finalReport , then stop; there is no session left to step. ask-gpt / ask-gemini / ask-grok / ask-openrouter - one question to one provider for a single-shot second opinion. panel - return the exact provider names ask-all would dispatch for the current config + expert (enabled built-ins + eligible OpenRouter aliases, fanout cap applied), WITHOUT calling them. Read-only. ask-one { provider, prompt } - one question to ONE provider named by panel (e.g. codex , grok , openrouter:<alias> ). The progress pattern: call panel , then issue one ask-one per name in a single turn so they run concurrently and each result lands independently as it finishes - visible per-provider progress with parallel wall-time, instead of the one opaque ask-all call. (The single-call ask-all still works; ask-one is the progressive alternative.) analyze - read-only run analytics. Reads the opt-in debug log (per-model p50/p95/max latency over SUCCESSFUL calls, mean tokens, error rate, reasoning effort) and the session store (verdict agreement rate), then returns advisory tuning suggestions (disable a slow/redundant model in ask-all , lower an OpenRouter model's reasoning, adjust maxFanout ), plus OpenRouter compare links. Two lenses reported side by side - timing and agreement are NOT joined. configuredOnly (default true) hides models missing from the current config so a retired model cannot drive the numbers; since ( 24h , 7d , ...) windows both lenses. Needs debug.enabled for the timing lens. Writes nothing. Every result carries provider , model , text , ms (wall time), and the effective reasoningEffort (real value for HTTP providers; null for the Codex/Gemini CLIs). HTTP providers (Grok, OpenRouter) also include token usage . Expert personas (pass as the tool, or via the expert argument on the fan-out tools to apply one persona to every delegate): architect - system design, tradeoffs, complex decisions. plan-reviewer - check a plan is executable before work starts. scope-analyst - catch ambiguities and hidden requirements before planning. code-reviewer - bugs, security holes, maintainability on a diff or file. security-analyst - threat modeling and vulnerability assessment. researcher - external libraries, APIs, and best practices, with evidence. debugger - ranked root-cause hypotheses and the smallest safe fix. Session tools (only useful when sessions.persist is enabled in config; they report "persistence disabled" otherwise). When on, consensus , the host-driven consensus-step loop (on a terminal converged/unresolved transition), and ask-all return a sessionId . By default the record stores the question + verdict/issue summaries only; set sessions.captureText: true to also persist each provider's response body (secret-scrubbed plus a best-effort PII pass). The metrics-only debug log never stores body text either way: session-get { sessionId } - fetch a recorded run (opinions, verdict, annotations). session-revisit { sessionId } - re-run the recorded question with the current providers/config and save a linked child record. A consensus record replays its mode (the loop, or a synthesize pass). session-annotate { sessionId, note } - append a note to a run's audit trail. There is no list tool: get the sessionId from the original run's result, or browse the store dir ( ~/.cache/deliberation/sessions/ ). See TECHNICAL.md "Session persistence" for a worked example. Every fan-out, single-provider, and expert tool takes a prompt . Give it full context: the goal, the relevant code or paths, and any prior attempts. The experts do not share your session, so a self-contained prompt gets a better answer. Performance + debugging (optional) These apply to every MCP host, not just Claude Code: Per-provider progress - prefer panel + parallel ask-one (above) when you want to watch each model finish instead of waiting on one opaque ask-all call. Orientation auto-attach - set "orientation": { "enabled": true } in config.json to have the server automatically attach a small repo bundle (CLAUDE.md, AGENTS.md, README.md, and key entrypoints, up to maxFiles files, default 6) to file-blind providers (Grok, OpenRouter) when they carry no files of their own. This gives them the same repo grounding that Codex and Gemini get by walking the filesystem. OFF by default; enable when file-blind providers underperform on repo-wide questions. Timeouts - each provider ships its own ceiling (codex 600s, gemini 300s, grok 180s, OpenRouter 180s). Raise them all with "providers": { "defaults": { "timeout": 600000 } } ; override one with providers.<name>.timeout ( providers.openrouter.defaults.timeout for OpenRouter), and a pinned model's models.<id>.timeout beats both. Read at server start, so a change needs a restart. A result that errors with errorKind: "timeout" at almost exactly the ceiling hit the limit rather than the model stalling. Retries - a failed call is retried once, and only for network , rate-limit (waiting for the upstream's Retry-After ), and empty (a provider that exited clean but returned a stub instead of an answer). timeout and auth/config errors are not retried. Debug log - set "debug": { "enabled": true } in config.json to append one JSON line per provider call and per consensus round to <XDG cache>/deliberation/debug.jsonl (override with DELIBERATION_DEBUG_LOG ). It records latency, reasoning effort, HTTP token usage, and voting/approval outcomes - never prompts, responses, or issue text. OFF by default. Live progress notifications - the server declares the MCP logging capability and emits notifications/message per provider as it settles during a fan-out. Hosts that render server log notifications mid-call show this automatically (Claude Code does not - hence the panel + ask-one pattern there). When to delegate Reviewing a plan or an architecture decision before you commit to it. A security review of auth, untrusted input, or a new endpoint. A second opinion when you are unsure, or after a fix has failed twice. Cross-model consensus on a high-stakes or contested call. Skip delegation for simple edits, the first attempt at a fix, and trivial questions you can answer directly. Updating If you run the standalone server via npx -y @antonbabenko/deliberation-mcp , each fresh resolve picks up the latest published version. npx caches resolved packages, so if you keep getting an old build, clear the cache ( rm -rf ~/.npm/_npx ) or pin/refresh the version in your host's MCP config. (The Claude Code plugin manifest is a separate mechanism and does not affect non-Claude hosts.)
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。