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description: Build and maintain an accurate, factual map of how work happens in a workspace, plus a customer-ready read-out. Pure factual capture, no opinions or recommendations. Reads the project scope, pulls process data from Klarity in parallel mini-phases, checks the data against reality, and writes a structured baseline plus an HTML report. Use after objective, or when the user says "current state," "map the workspace," "read-out," or "show me how the work runs."
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# Current state
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This step of the Klarity agent-building lifecycle is served from the Klarity Architect MCP. Do not improvise the methodology — fetch it.
2. Follow the returned instructions exactly. They include a **resource manifest** — a list of references/primitives/templates this step needs.
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3. For each manifest entry, call `get_agent_builder_resource(type=..., key=...)` and use the returned content. Fetch on demand; do not skip.
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4. Write outputs to the project directory as the instructions specify.
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This step produces a visual HTML artifact; the fetched instructions include a Rendering section — follow it (fetch the template, inject data into the JSON data-islands, write the file, tell the user to open it).
description: Turn the project objective and the validated current-state baseline into a set of evidence-backed, scored opportunities. Generates hypotheses against the objective, investigates each one with parallel subagents, scores them on transparent evidence-based axes, and writes a findings report. Runs after current-state. Use when the user says "diagnose," "find opportunities," or "what should we automate."
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# Diagnose
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This step of the Klarity agent-building lifecycle is served from the Klarity Architect MCP. Do not improvise the methodology — fetch it.
description: Renders the Klarity home screen — a single-page HTML artifact showing lifecycle phase progress, current status, and next actions. Invoke when the user says "home," "status," "where am I," or at session start to orient.
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# Home
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This step of the Klarity agent-building lifecycle is served from the Klarity Architect MCP. Do not improvise the methodology — fetch it.
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1. Call `get_agent_builder_instructions(step="home")` and follow it.
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2. Follow the returned instructions exactly. They include a **resource manifest** — a list of references/primitives/templates this step needs.
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3. For each manifest entry, call `get_agent_builder_resource(type=..., key=...)` and use the returned content. Fetch on demand; do not skip.
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4. Write outputs to the project directory as the instructions specify.
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This step produces a visual HTML artifact; the fetched instructions include a Rendering section — follow it (fetch the template, inject data into the JSON data-islands, write the file, tell the user to open it).
description: Set up a new automation project by capturing the things the data cannot tell us: the outcome the user wants, what kind of value matters, where to focus, which tools are allowed, what is off-limits, and who owns it. Writes project.md and manifest.md. Use when the user says "start a project," "set an objective," "new engagement," or when no project exists for the workspace.
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# Objective
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This step of the Klarity agent-building lifecycle is served from the Klarity Architect MCP. Do not improvise the methodology — fetch it.
description: Fitness-check a candidate, extract pain points, match tools, and produce an interactive HTML recommendation artifact. Use when the user says "propose," "spec this out," "what should the agent do," or "recommend for X."
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# Propose
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This step of the Klarity agent-building lifecycle is served from the Klarity Architect MCP. Do not improvise the methodology — fetch it.
2. Follow the returned instructions exactly. They include a **resource manifest** — a list of references/primitives/templates this step needs.
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3. For each manifest entry, call `get_agent_builder_resource(type=..., key=...)` and use the returned content. Fetch on demand; do not skip.
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4. Write outputs to the project directory as the instructions specify.
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This step produces a visual HTML artifact; the fetched instructions include a Rendering section — follow it (fetch the template, inject data into the JSON data-islands, write the file, tell the user to open it).
description: Load when the skill track has an approved outline and needs the final installable bundle produced — the conductor invokes this after Gate 2 (utterances that reach it: "build it", "generate the bundle", "ship this skill", "make the install steps"). Emits the hub-and-spoke skill bundle, a web-verified install wizard, and a first-run smoke test drawn from the team's real evidence. Needs web search to verify the current install UI against vendor docs. NOT for discovering candidates (that is skill-discovery), NOT for drafting or approving the outline (that is skill-outline), and NOT for any generic non-skill build (there is intentionally no generic build skill).
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# Skill build
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This step of the Klarity agent-building lifecycle is served from the Klarity Architect MCP. Do not improvise the methodology — fetch it.
description: Load when the skill track needs candidate skill cards discovered from a team's workspace evidence — utterances reach it through the conductor, not directly (the track has already set the scope, the runner, and the approved systems). Reads processes, observations, and activity timelines, then surfaces a small set of plain-language candidate cards for the user to triage. NOT for expanding a chosen card into a plan (that is skill-outline), NOT for building the final bundle (that is skill-build), and NOT for general automation opportunities across the org (that is diagnose).
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# Skill discovery
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This step of the Klarity agent-building lifecycle is served from the Klarity Architect MCP. Do not improvise the methodology — fetch it.
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