Run a question/plan/decision through 5 advisors that each use a distinct REASONING METHOD (inversion, decomposition, analogy, naive questioning, dependency graphing), then anonymized peer review and a chairman synthesis.
Plugin llm-council from marketplace agentic-stack in justsima/agentic-stack. Commands read from the repo's manifest — 30 days ago.
llm-councilRun a question, plan, decision, code review, or PR through a 5-advisor LLM Council with anonymized peer review and chairman synthesis. Each advisor uses a distinct REASONING METHOD (inversion, decomposition, analogy, naive questioning, dependency graphing) — not just a different persona. Based on An
Multi-agent deep-research pipeline: adaptive parallel explorers + STORM-style questioning + adversarial red-team verification + tiered search (Exa/SearXNG/WebSearch) + optional wiki filing & knowledge-graph. Tunable via program.md.
1 command · 2 agents
Parallel divergent ideation: spawns N isolated idea branches under different cognitive frames, scores them, prunes traps, and deepens the survivors. For open-ended, high-stakes design/naming/strategy problems.
1 skill
The config layer: safety hooks (block dangerous commands, block secret leaks), a session-context hook, a verify-before-stop hook, plus a recommended-settings fragment (permission denylist + workflow flags). No secrets.
hooks
Generate natural, tailored job-application answers from YOUR own profile (a private, git-ignored profile.md you create from the included template).
1 skill
Find the best X on the market in any category across major retailers. Parallel research explorers + a DETERMINISTIC Python decision-matrix scoring engine + red-team verification + a ranked, segment-aware buying report.
1 skill
Appends two or three short follow-up questions after a substantive answer to help users check key facts, probe the reasoning, and notice missing context
19 skills
DeepSeek model harness with focused agents, commands, and skills for swarm-backed reasoning workflows
2 skills · 1 command · 1 agent
Marc Andreessen-mode decision and productivity skill. Market-first operator that pressure-tests ventures/ideas/features/bets (market > team > product; product/market fit is the only milestone; bias to build) and runs the 3x5-card + Anti-Todo routine. Fixed anti-sycophancy operating prompt: counterargument first, no disclaimers, explicit confidence levels, no capitulation. Issues hard verdicts backed by deterministic stdlib tools.
1 skill · 2 commands · 1 agent
Skills for building apps with the AG-UI .NET SDK: streaming chat (stateless vs hosted agents), server tools, client tools, human-in-the-loop (approvals & interrupts), shared state, multimodal messages, reasoning traces, protobuf transport, and troubleshooting.
9 skills
Use when the user wants candidates for a role; they paste a LinkedIn job post (or a job description) and want the people who fit it, ranked, with a reason for each and a personal email and phone to reach them. Also for "source candidates", "find people for this job", "build a shortlist", or turning a job post into a contactable candidate list.
1 skill
18 AI personas deliberate your hardest decisions — structured multi-round deliberation with genuine model diversity. One command: /council
2 skills · 18 agents
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