c4-architecture
claudeComprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
1 command · 4 agents
Web-search-grounded adversarial debate between independent AI agents.
Plugin colosseum from marketplace colosseum in JinHo-von-Choi/colosseum. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
colosseumRuns a web-search-grounded adversarial review of a contested question. Three independent agents, ideally from different model families, draft blind answers; a family-weighted vote and pooled probability set the baseline; only evidence backed by verified verbatim quotes can move the verdict. Use when
cli-proxyInternal worker of the colosseum skill. Relays one prompt to an external AI agent CLI (codex, gemini, kimi, mcode, opencode, hermes, openclaw and others in the Colosseum agent registry) and returns its answer. Never use it directly for user requests.
participantInternal worker of the colosseum skill. Only the colosseum skill's moderator launches it, to write one blind draft or debate turn as JSON. Never use it directly for user requests.
python3 "${CLAUDE_PLUGIN_ROOT}/skills/colosseum/scripts/hook.py" pre
python3 "${CLAUDE_PLUGIN_ROOT}/skills/colosseum/scripts/hook.py" post
python3 "${CLAUDE_PLUGIN_ROOT}/skills/colosseum/scripts/hook.py" subagent-stop
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
1 command · 4 agents
Evidence-backed BioPharma research workflows over Maven Bio's drug, trial, company, and deal knowledge graph. Skills for competitive pipelines, indication landscapes, asset profiles, deal and financing activity, and evidence synthesis grounded in FDA, SEC, clinical, and press sources. Requires a Maven Bio account.
16 skills · 1 agent · 1 MCP server
Personal knowledge brain for your coding agent — hybrid search, synthesis, and durable cross-session memory, plus a curated brain-first skill set.
80 skills · 1 MCP server · hooks
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.
6 skills · 7 commands · 2 agents
Product discovery skills for PMs: ideation, experiments, assumption testing, feature prioritization, and customer interview synthesis.
13 skills · 5 commands
Agents for academic, market, and technical research, synthesis, and reporting
9 agents
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