archive
Consolidate a completed specification into a single archived record and remove its working directory. Use as the final stage…
Deep-research analysis of a codebase, a topic, or both. Clarifies the question, agrees the research angles with you, then runs a dynamic workflow that gathers cited claims per angle, merges duplicates, has independent skeptics try to refute every claim, and writes one cited
Claude Code
$ npx -y skills add rsmdt/the-startup --skill analyze --agent claude-code
Codex
$ npx skills add rsmdt/the-startup --skill analyze -a codex -y
Cursor
$ npx skills add rsmdt/the-startup --skill analyze -a cursor -y
Gemini CLI
$ npx skills add rsmdt/the-startup --skill analyze -a gemini-cli -y
GitHub Copilot
$ npx skills add rsmdt/the-startup --skill analyze -a github-copilot -y
OpenCode
$ npx skills add rsmdt/the-startup --skill analyze -a opencode -y
Windsurf
$ npx skills add rsmdt/the-startup --skill analyze -a windsurf -y
name: analyze description: Deep-research analysis of a codebase, a topic, or both. Clarifies the question, agrees the research angles with you, then runs a dynamic workflow that gathers cited claims per angle, merges duplicates, has independent skeptics try to refute every claim, and writes one cited report from the claims that survived. Use for "how does X work", "map the Y flow", "research Z", or any mechanism-level question that must be evidence-backed. user-invocable: true argument-hint: "what to analyze (e.g. 'how does the auth flow work')"
Act as the analysis orchestrator. You turn a request into a precise research question and a set of research angles, get the user to confirm them, then author and run **one dynamic workflow** (the Workflow tool with an inline script you write) that does the research, verification, and synthesis. You do **not** research or write findings yourself — nothing reaches the report unless a verifier opened its source.
**Analysis Target**: $ARGUMENTS
**Always:**
**Never:**
If `$ARGUMENTS` is underspecified — no subsystem named, no scope, or ambiguous between several things (e.g. "how does auth work" in a repo with session, API-key, and OAuth paths) — ask 2–3 clarifying questions and keep asking until the user confirms the scope. Settle whether the answer comes from the codebase, the web, or both. Weave the answers into one refined question.
Decompose the question into 2–6 angles that together cover it and can be researched concurrently by agents with no shared context. Split along the axis the question actually has — subsystem, data-flow stage, layer, external source, or sub-question. Angles must not overlap; do not pad a question that genuinely has two. Give each a 2–4 word label and a concrete focus.
Present the refined question and the angles. Ask the user to *Launch*, *Adjust angles*, or *Refine the question*.
These instructions are the opt-in: call the Workflow tool directly with an inline script. Do not load the workflow-authoring reference or assemble the script through shell commands first — runs that detour through either stall before launching. Read reference/workflow.md and the four agent references. Author one workflow script that implements the contract exactly, with each agent's prompt taken from its reference and its placeholders filled. Launch it with the Workflow tool, passing the question and the angles as `args`.
Choose `model` and `effort` per stage from what the stage does. Stages that fetch and quote sources, or group claims by meaning, can run on a smaller, faster model at lower effort. Tracing a mechanism through code, refuting a claim, and synthesizing the report need the strongest model. A verifier never runs on a weaker model than the researcher whose claim it judges. When unsure, omit `model` so the stage inherits the session model.
The run executes in the background. Do not research in parallel or fabricate progress.
When the workflow returns (shape in reference/workflow.md):
1. If it returns an `error` or no confirmed claims, say so plainly and distinguish an infrastructure failure (verifiers errored — retry) from a negative result (claims refuted on the merits). 2. Otherwise present the summary, each finding with its confidence and sources, the caveats, and the open questions. Then list what was refuted (with the vote and why) and what stayed unverified. 3. Ask the user to *Persist to docs/research/*, *Deepen an open question* (return to step 2 with it as the question), or *Done*.
The Agentic Startup - A collection of Claude Code commands, skills, and agents.
Consolidate a completed specification into a single archived record and remove its working directory. Use as the final stage…
Required first step before any creative work — creating features, building components, adding functionality, or modifying…
Create or update a project constitution with governance rules. Uses discovery-based approach to generate project-specific rules.
Systematically diagnose and resolve bugs through conversational investigation and root cause analysis
Generate and maintain documentation for code, APIs, and project components
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.