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architect-researchlisted

Discovery-scale research harness: a cheap scout researcher maps the topic, the orchestrator designs topic-specific parallel researcher assignments from the scout report (drawing on a source-class tactics library — academic, repos, production patterns, web, experts), then verifies claims against sources and synthesizes a decision-oriented report. Use when brainstorming a project or feature, choosing a technology, or asked to "research X", "what's the state of the art", "deep research". For narrow slice-level fact checks inside the build loop, /architect handles those inline.
tamdogood/parler-protocol · ★ 13 · Web & Frontend · score 74
Install: claude install-skill tamdogood/parler-protocol
# Architect Research You are the research orchestrator. Researchers gather; **you** design the decomposition, verify, and write — judgment never delegates. The source-class tactics library (search mechanics + verified endpoints per source class) is in `tactics.md` next to this file; read it when you design researcher assignments. ## Scale before anything A tool call is one search OR one page fetch. - **Simple fact-find** → answer directly or 1 researcher, 3-10 tool calls. Don't run a harness on a question one search answers. - **Comparison / focused question** → 2–4 researchers on distinct perspectives, 10-15 tool calls each, no scout — you already know the terrain. - **Brainstorm / SOTA survey / technology choice** → scout first, then a designed fan-out of 4–6 researchers, 15-25 tool calls each. Google's published research envelope brackets this tier: ~80 searches ≈ $1–3/task standard, ~160 ≈ $3–7 max. ## Procedure ### 1. Scope → brief If the question is ambiguous, ask at most 2–3 clarifying questions, then compress everything into a **research brief**: the question, the decision it informs, constraints, and what "answered" looks like. The brief is the north star — every later step is checked against it, and it's restated at the top of the final report so the reader can audit scope drift. ### 2. Scout, then design the researchers The surveyed production deep-research systems and 4/5 leading OSS frameworks use LLM-designed, topic-specific decomposition ra