# Send Roundtable Adaptive to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "roundtable-adaptive", "name": "Roundtable Adaptive", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/JimmyClanker/roundtable-adaptive", "canonicalUrl": "https://clawhub.ai/JimmyClanker/roundtable-adaptive", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/roundtable-adaptive", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=roundtable-adaptive", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "README.md", "SKILL.md", "examples/debate-ai-developer-2026-02-23.md", "examples/priorityA-checklist.md", "panels.json", "prompts/final-synthesis.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "roundtable-adaptive", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-03T11:45:04.963Z", "expiresAt": "2026-05-10T11:45:04.963Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=roundtable-adaptive", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=roundtable-adaptive", "contentDisposition": "attachment; filename=\"roundtable-adaptive-2.9.1.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "roundtable-adaptive" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/roundtable-adaptive" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/roundtable-adaptive", "downloadUrl": "https://openagent3.xyz/downloads/roundtable-adaptive", "agentUrl": "https://openagent3.xyz/skills/roundtable-adaptive/agent", "manifestUrl": "https://openagent3.xyz/skills/roundtable-adaptive/agent.json", "briefUrl": "https://openagent3.xyz/skills/roundtable-adaptive/agent.md" } } ``` ## Documentation ### Roundtable v2 — Adaptive Multi-Model Orchestrator Trigger: roundtable [--mode] [prompt] from any channel your agent monitors. Output: Posted to your configured output channel (set ROUNDTABLE_OUTPUT_CHANNEL in your OpenClaw config, or results are posted back to the triggering channel). Panel agents: Persistent sessions (mode="session", thread=true) — stay alive in the Discord thread for follow-up questions. Meta-panel analysts and synthesis agent are one-shot (mode="run"). The orchestrator = COORDINATOR ONLY. Uses your default model unless overridden in panels.json. Never argues a position, never joins the panel. Core principle: the Meta-Panel (4 premium models) designs the optimal WORKFLOW for the task — parallel debate, sequential pipeline, or hybrid — then the right agents execute it. ### Configuration Before using, set your output channel in panels.json (or the triggering channel is used): { "output": { "channel": "discord", "target": "YOUR_CHANNEL_ID_HERE" } } If using Discord threads (optional — creates one thread per roundtable for clean organization): { "output": { "channel": "discord", "target": "YOUR_CHANNEL_ID_HERE", "useThreads": true } } Without this config, results are posted directly to the channel where the command was issued. ### Cost transparency ComponentCost per full runClaude Opus (OAuth)FreeGPT-5.3 Codex (OAuth)FreeGemini 3.1 Pro (Blockrun)~$0.05Grok 4 (Blockrun)~$0.08Total (full panel)~$0.13–$0.50Degraded mode (Claude only)Free --quick flag halves cost (1 round only). ### Setup Minimum (degraded mode — free): Configure anthropic provider in openclaw.json (OAuth or API key) Optionally add openai-codex for GPT-5.3 Codex Done — Grok/Gemini slots fall back to Claude Sonnet Full panel (adds Grok 4 + Gemini 3.1 Pro via Blockrun): Install Blockrun: openclaw plugins install @blockrun/clawrouter then openclaw gateway restart Fund the Blockrun wallet with USDC on Base (~$5-10). Address shown during install. Full panel costs ~$0.13–$0.50/run; Claude and GPT slots remain free via OAuth. Results are saved to {workspace}/memory/roundtables/YYYY-MM-DD-slug.json (created automatically). ### Optional: auto-trigger a dedicated channel You can configure a Discord channel as a roundtable-only channel in your AGENTS.md: Any message in channel [YOUR_CHANNEL_ID] → treat as a roundtable topic automatically. No prefix needed. Message → auto-detect mode → create thread → spawn orchestrator. This is entirely optional — the explicit roundtable command works from any channel. ### Explicit trigger (any channel) roundtable [prompt] — auto-detect mode, full flow roundtable --debate [prompt] — force parallel debate mode roundtable --build [prompt] — force build/coding mode roundtable --redteam [prompt] — force adversarial mode roundtable --vote [prompt] — force decision mode roundtable --quick [prompt] — skip meta-panel, use default panel for mode, 1 round only roundtable --panel model1,model2,model3 [prompt] — manual panel override, skip meta-panel roundtable --validate [prompt] — add Round 3 agent validation of synthesis roundtable --no-search [prompt] — skip web search (use only for purely theoretical/abstract topics) ### Step -1: Create a Thread (FIRST ACTION) Before anything else, create a thread in your configured channel and save the thread ID. ### -1a) Dedup check (REQUIRED) Avoid double-spawn if the same topic is triggered twice. Normalize topic string: lowercase trim collapse multiple spaces remove trailing punctuation List recent threads in the target channel: message(action='thread-list', channel='discord', channelId='[CHANNEL_ID]', limit=25) If an existing active thread title matches normalized topic (+ same mode tag like [[DEBATE]]) created in last 24h: reuse that thread (THREAD_ID = existing_thread_id) post: ♻️ Duplicate topic detected — reusing existing thread. do NOT spawn a new orchestrator/panel If no match: create a new thread. ### -1b) Create thread (if no dedup hit) message( action = 'thread-create', channel = '[your configured channel]', channelId = '[CHANNEL_ID from user config]', threadName = '🎯 [topic — max 8 words] [[MODE]]', message = '**Panel:** [model list]\\n**Mode:** [mode] | **Rounds:** [N]\\n⏳ Analysis in progress...' ) Save the returned thread ID as THREAD_ID. All subsequent message() calls use target = THREAD_ID, NOT the channel ID. If thread creation fails or channel is not configured: fall back to posting directly in the active channel. ### Step 0: Web Search Grounding (always first) Run a web search on the topic before anything else — meta-panel and all agents will have current context. web_search(query = prompt, count = 5) Timeout policy: If web_search returns no result or errors within ~10s, do NOT block — continue immediately with CURRENT_CONTEXT = "No real-time data available (search failed or timed out).". The roundtable proceeds on model knowledge only. Caching: If re-running the same topic within the same session, reuse the prior CURRENT_CONTEXT block — do not re-search. Summarize results into a CURRENT_CONTEXT block (max 250 words): Key facts, recent developments, relevant data points Date of search If no useful results found: note "No relevant real-time data found" and continue This block is injected into: The meta-panel prompt (so they design the workflow with current context) Every Round 1 agent prompt (so all panelists argue from the same updated baseline) ### Step 0b: Meta-Panel — Workflow Design Skip if: --panel flag used, OR --quick flag used. ### Spawn 4 premium meta-analysts in parallel Read panels.json → meta.models. For each: sessions_spawn( task = filled prompts/meta-panel.md, model = model_id, mode = "run", label = "rt-meta-[A/B/C/D]", runTimeoutSeconds = 90 ) ### 0b. Synthesize workflow from 4 recommendations After collecting all meta responses, the orchestrator synthesizes the final workflow: Workflow type: majority vote among 4 recommendations Tie → prefer hybrid (more flexible) Stage composition: tally model recommendations per stage For each stage position, pick the most-recommended model If a model is not in agents.defaults.models allowlist → skip, use next If a model is your orchestrator's model → skip (reserved for the orchestrator, never a panelist) Rounds: median of recommendations (round up if tie) — hard cap at 3 max, always Synthesis model: most-recommended premium model not on the main panel Log the decision (include in output header): "Meta-panel designed workflow: [type]. Stages: [N]. Panel: [models]. Synthesis: [model]." ### 0c. Workflow types explained parallel_debate — classic roundtable All agents in Stage 1 work independently, same prompt Round 2: cross-critique Best for: debates, opinions, risk analysis, decision-making sequential — output chains between stages Stage 1 agents produce outputs (drafts, code, research) Stage 2 agents receive Stage 1 outputs and review/validate/improve Best for: coding (write → review), research (collect → synthesize), creative (draft → refine) Round 2 within Stage 1 still possible; Stage 2 is a separate pass hybrid — parallel within stages, sequential between Stage 1: N agents work in parallel on different aspects Stage 2: 1-2 premium agents receive ALL Stage 1 outputs and produce integrated output Best for: complex analysis (parallel research → premium synthesis) ### 0d. Panel degradation rule If any agent fails and fallback is SAME MODEL FAMILY → log: ⚠️ PANEL DEGRADED — [role] substituted [original] with [fallback] (same family: [family]) Always surface this in META section of final output with actionable guidance: If degraded due to missing blockrun → "Action: Start Blockrun at localhost:8402 for full panel, or use --panel budget for stable 2-model run" If degraded due to model not in allowlist → "Action: Add [model] to agents.defaults.models in openclaw.json" If degraded due to API error → "Action: Check provider API key / quota, then retry" ### Step 1: Detect Mode (if no flag given) ModeKeywordsdebatepros/cons, tradeoff, should we, ethics, compare, opinion, betterbuildimplement, code, architecture, build, design, develop, createredteamattack, vulnerability, failure, risk, break, threat, exploitvotechoose, decide, which one, best option, select, recommend betweendefaultanything else ### parallel_debate (standard) Round 1: Spawn all panel agents in parallel as persistent thread-bound sessions. sessions_spawn( task = filled prompts/round1.md, model = model_id, mode = "session", ← persistent — stays alive in the thread label = "rt-[role]", thread = true ← bound to the thread from Step -1 ) Save session keys: { "attacker": sessionKey, "defender": sessionKey, ... } Each agent writes their full response + SELF-DIGEST (last section) Collect all self-digests ⚠️ Agents stay alive — users can address them directly for follow-up questions Round 2 (if rounds ≥ 2): Send cross-critique prompt to each existing session via sessions_send. Do NOT re-spawn — reuse session keys from Round 1 [SELF_DIGEST] = this agent's own digest from Round 1 [PEER_DIGESTS] = other agents' digests (labeled with role) Extract AGREEMENT SCORES from each response Round 3 (if --validate): See Step 4. ### sequential Stage 1: Spawn agents in parallel as persistent sessions (mode="session", thread=true). Use standard prompts/round1.md. Round 2 cross-critique via sessions_send to existing sessions (no re-spawn). Collect full Stage 1 outputs for Stage 2. Stage 2: Spawn new persistent sessions (mode="session", thread=true). Build prompt: prompts/round1.md base + prepend Stage 1 outputs as context Label: "STAGE 1 OUTPUT from [Role]: [full output]" Stage 2 agents review/validate/improve Stage 1 work and write SELF-DIGESTs ### hybrid Stage 1: Parallel persistent sessions (mode="session", thread=true), each with a different sub-task. Customize Round 1 prompt to specify each agent's sub-task: "Your specific task for this stage: [task from workflow design]" Agents write SELF-DIGESTs Stage 2: 1-2 new persistent sessions (mode="session", thread=true) with all Stage 1 outputs embedded. Build prompt: prompts/round1.md base + "You are integrating and synthesizing the work of multiple agents. Their outputs: [all Stage 1 outputs]" Stage 2 produces the integrated output ### Step 3: Consensus Scoring After Round 2 (parallel_debate) or Stage 2 (sequential/hybrid): Extract AGREEMENT SCORES from each agent's Round 2 response. Build score matrix: { agent_role: { peer_role: score_1_to_5 } } Consensus % = (sum of all scores / (n_scores × 5)) × 100 If no Round 2 scores (quick mode / sequential): omit consensus %, mark as "N/A" Note on Round 3: Round 3 validation uses ACCURATE/PARTIALLY/INACCURATE — this is a separate metric from consensus %. Round 3 checks synthesis fidelity, not inter-agent agreement. Do NOT mix these two metrics. Consensus % comes only from Round 2 scores; Round 3 result appears separately in the META block as Validated: yes/no/partial. ### Step 4: Round 3 — Validation (--validate flag only) When to recommend --validate to the user: Consensus % < 40% (high disagreement — synthesis risks distortion) Redteam mode (adversarial stakes — synthesis must be bulletproof) Build mode with 3+ Stage 2 models (complex integration, easy to misrepresent) User explicitly mentions "high-stakes", "final decision", or "publishing this" When NOT to use it: Quick mode, debate on subjective topics, or when time matters more than precision. Draft synthesis first (Step 5 below), but do NOT post. Spawn validation agents: sessions_spawn( task = filled prompts/round3-validation.md, model = original agent model, label = "rt-r3-validate-[role]", runTimeoutSeconds = 60 ) Tally: 2+ INACCURATE → rewrite synthesis incorporating corrections 1 INACCURATE → note in META: ⚠️ [Role] flagged misrepresentation: [correction summary] All ACCURATE/PARTIAL → mark Validated: yes or Validated: partial in META ### Step 5: Synthesis — Spawned Neutral Model Never write synthesis yourself. sessions_spawn( task = filled prompts/final-synthesis.md, model = [synthesis model from meta-panel recommendation, or anthropic/claude-opus-4-6 as default], label = "rt-synthesis", mode = "run", runTimeoutSeconds = 180 ) Fill prompts/final-synthesis.md placeholders: [ROUND1_SUMMARIES] → all self-digests: "[ROLE] ([model]): [digest]" [ROUND2_SUMMARIES] → critiques: "[ROLE] criticized [peer]'s [claim] because [reason]" [CONSENSUS_SCORES] → full score matrix + calculated % [DISCORD_THREAD_ID] → the THREAD_ID from Step -1 (synthesis agent posts here) Post to Discord using THREAD_ID from Step -1 (not the channel ID). All round outputs and the final synthesis go into the same thread. ### Step 6: Persist Results Save to {workspace}/memory/roundtables/YYYY-MM-DD-[topic-slug].json: { "date": "YYYY-MM-DD", "topic": "[prompt]", "mode": "[mode]", "workflow_type": "parallel_debate|sequential|hybrid", "stages": [{ "model": "...", "role": "...", "task": "..." }], "meta_panel_recommendation": "[summary of meta votes]", "panel_degraded": false, "panel_degradation_notes": "", "consensus_pct": "XX% or N/A", "synthesis_model": "[model]", "validated": "yes|no|partial", "elapsed_time_sec": 0, "synthesis": "[final synthesis text]" } Also append one JSONL line to {workspace}/memory/roundtables/scorecard.jsonl with: ts, topic, mode, workflow_type, elapsed_time_sec, consensus_pct, validated, panel_degraded. ### Edge Cases SituationActionWeb search failsContinue with note "No real-time context available" in all prompts--no-search flagSkip Step 0 web search entirelyMeta-panel all failUse default panel for detected mode, log warning--quickSkip meta-panel + round 2. Always uses parallel_debate workflow. Spawns default panel for detected mode (3 models). Synthesizes after round 1 only.--panel overrideSkip meta-panel, use specified models, default to parallel_debateFallback = same familyContinue + log PANEL DEGRADED warning in METABoth model and fallback failSkip agent, note in META — do not wait, do not blockNo blockrun configuredWarn user: "Blockrun not available. Using budget panel. Full panel requires Blockrun at localhost:8402." Auto-switch to budget profile from panels.json.Agent timeout (any round)FAIL-CONTINUE: treat as absent, mark [TIMEOUT] in META, proceed with surviving agentsAgent fails mid-Round 2Use its Round 1 digest as final position, omit its scores from consensus calculationSynthesis agent failsOrchestrator writes synthesis, note: "Synthesis by orchestrator (bias risk — no neutral model available)"Stage 2 agent failsNote in META, synthesize with Stage 1 only0 agents respondReport failure, suggest retry1 agent respondsSkip Round 2 (no peers), synthesize from Round 1 only, mark consensus "N/A"--context-from SLUGLoad {workspace}/memory/roundtables/[slug].json, extract synthesis field, prepend to CURRENT_CONTEXT as "PRIOR ROUNDTABLE CONTEXT: [synthesis]". If file not found: warn and continue without prior context. ### Placeholder Contract When filling prompt templates, apply this rule for every [PLACEHOLDER]: PlaceholderIf missing/failedAction[CURRENT_CONTEXT]Web search failedInsert: "No real-time context available."[SELF_DIGEST]Agent timed out R1Skip agent entirely from R2[PEER_DIGESTS]All peers failedSkip R2, go to synthesis directly[ROUND1_SUMMARIES]No R1 outputsAbort with error: "0 agents responded"[ROUND2_SUMMARIES]Quick mode / no R2Insert: "No cross-critique (quick mode or single round)"[CONSENSUS_SCORES]No scores extractedInsert: "N/A — scores not available"[SYNTHESIS_DRAFT]Synthesis failedSkip R3, note in META Never leave a [PLACEHOLDER] unfilled in a prompt. Unfilled placeholders confuse models and produce garbage output. ### Score Parsing (Round 2) Agents write scores in free text. Extract scores with this heuristic: Look for the SCORES: block Match pattern: - [Role]: X/5 — extract integer X (1–5) If no clean integer found, scan for digit 1–5 nearest to the role name If still ambiguous → assign 3 (neutral) and note [SCORE INFERRED] in META Do NOT crash the workflow on a malformed score block. ### Quick Reference: Default Panels (fallback if meta-panel fails) debate: [opus-4.6, gpt-5.3-codex, gemini-3.1-pro, grok-4] → Advocate / Devil's Advocate / Analyst / Contrarian build: [opus-4.6, gemini-3.1-pro, grok-4, gpt-5.3-codex] → Architect / Reviewer / Engineer / Implementer redteam: [opus-4.6, gemini-3.1-pro, grok-4, gpt-5.3-codex] → Defender / Analyst / Attacker / Red Teamer vote: [opus-4.6, gemini-3.1-pro, grok-4, gpt-5.3-codex] → 4-way vote panel (all via blockrun/ prefix — see panels.json for exact model IDs and fallbacks) ## Trust - Source: tencent - Verification: Indexed source record - Publisher: JimmyClanker - Version: 2.9.1 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-03T11:45:04.963Z - Expires at: 2026-05-10T11:45:04.963Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/roundtable-adaptive) - [Send to Agent page](https://openagent3.xyz/skills/roundtable-adaptive/agent) - [JSON manifest](https://openagent3.xyz/skills/roundtable-adaptive/agent.json) - [Markdown brief](https://openagent3.xyz/skills/roundtable-adaptive/agent.md) - [Download page](https://openagent3.xyz/downloads/roundtable-adaptive)