algo
01Skill Claude Code
Algorithm analysis with parallel multi-model reasoning — deepseekalgo (lead), qwenalgo, qwenreason, and minimaxcode tackle your problem from different angles.
Stop AI Hallucinations Before They Start Run models from OpenAI, Google, Anthropic, xAI, Perplexity, and OpenRouter in parallel. They check each other's work, debate solutions, and catch errors before you see them.
This repository also configures its own agents. See what tachibot-mcp tells them →
Skill Claude Code
Algorithm analysis with parallel multi-model reasoning — deepseekalgo (lead), qwenalgo, qwenreason, and minimaxcode tackle your problem from different angles.
Skill Claude Code
Use when the user wants a security review of code or a diff — OWASP/CWE findings with severity, taint/data-flow analysis, and concrete fixes via securityreview.
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Multi-model implementation planning — creates bite-sized TDD plans using plannermaker's council pipeline with goal-oriented checkpoints.
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Break down complex problems before implementation using multi-model reasoning and prompt techniques.
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Deep multi-model council with research, adversarial debate, sequential reasoning, and final synthesis. For architecture decisions and complex tradeoffs.
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Decompose problems into sub-problems, then deep-dive each one with sequential multi-model reasoning.
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Multi-model reasoning with modes like deep-reasoning, architecture-debate, research, analyze.
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Use for decisions or judgments worth multiple independent perspectives — multi-model council with parallel analysis, search grounding, and synthesis (30-60s); for a quick single-call verdict use the jury tool directly.
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Quick multi-model jury — parallel jurors + Gemini synthesis in one call. Default entry point for judgment tasks.
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Long-context analysis — examine a large document or codebase under a focused lens using active retrieval over Kimi's 1M window, surfacing insights, relations, and inconsistencies.
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Use when a task would benefit from a structured thinking technique but you're not sure which — recommends the right prompt technique for the intent (debug, spec, refactor, decision, design) and applies it.
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Use when the user shares or finishes a plan and wants it stress-tested before execution — adversarial multi-model pre-mortem with ranked risks, mitigations, and concrete plan edits.
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Iterative reflexion loop — generate, critique against EXTERNAL evidence (real tests, search), then revise until it converges. Grounded self-correction, not sycophantic self-review.
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Use when code changes are ready for review — a diff exists, the user says "review my changes/PR", or a commit is about to happen. Multi-model diff review (Kimi K3, DeepSeek, GPT-5.6 panel + Gemini judge) with a MERGEABLE verdict.
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Use when TachiBot tools seem missing, a provider isn't working, or the user asks for a setup wizard or to set up/configure TachiBot or its API keys — runs doctor and walks through fixing the gaps.
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Use when the user asks what TachiBot can do, which tools/skills exist, or which API keys are configured — help and discovery entry point.
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Chain-of-thought reasoning with optional multi-model execution using nextThought.
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Tree-of-Thought reasoning — branch a problem into multiple solution paths, explore each, score and prune branches via a model jury, then synthesize the best. Non-linear reasoning that can backtrack.
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Use when the user hits an error, exception, or stack trace and the cause isn't obvious — returns RANKED root-cause hypotheses with the cheapest discriminating check for each, via debugtriage.
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Use when writing a blog post, article, doc, or report that must be fact-grounded and not generic — live research feeds blogwriter, then separate verify (claims vs retrieved passages) and de-generic (voice) gates. Fail-closed with a claim ledger.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: