agent-launcher-orchest…
Use when someone wants to build, launch, grade or schedule a Claude Managed Agent in their own Anthropic account ('build me an…
Use when someone has an agent idea to scope before launch ('help me scope an agent'). Interviews them about the one job and writes a build sheet with build_sheet_builder.py, checked by primitives_validator.py; no API key needed.
Claude Code
$ npx -y skills add alirezarezvani/claude-skills --skill interview --agent claude-code
Codex
$ npx skills add alirezarezvani/claude-skills --skill interview -a codex -y
Cursor
$ npx skills add alirezarezvani/claude-skills --skill interview -a cursor -y
Gemini CLI
$ npx skills add alirezarezvani/claude-skills --skill interview -a gemini-cli -y
GitHub Copilot
$ npx skills add alirezarezvani/claude-skills --skill interview -a github-copilot -y
OpenCode
$ npx skills add alirezarezvani/claude-skills --skill interview -a opencode -y
Windsurf
$ npx skills add alirezarezvani/claude-skills --skill interview -a windsurf -y
name: interview
description: "Use when someone has an agent idea to scope before launch ('help me scope an agent'). Interviews them about the one job and writes a build sheet with build_sheet_builder.py, checked by primitives_validator.py; no API key needed."
license: MIT
metadata:
version: 2.11.2
author: Alireza Rezvani
tags: [cma, interview, scoping, build-sheet, primitives, deferrals, eval-plan]
compatible_tools: [claude-code, codex-cli, cursor, antigravity, opencode, gemini-cli]Open warmly with one or two examples from [`../../references/examples-bank.md`](../../references/examples-bank.md), then interview the founder into a **build sheet**. No API key needed in this phase — the output is a plan.
| Slot | Question | Maps to | |---|---|---| | **Job** | "What one job should this agent do end-to-end?" | `agent.system` + outcome `description` | | **Trigger** | "What kicks it off — you ask it, an event, or a schedule?" | on-demand / event / cron | | **Inputs** | "What does it read?" (files, repo, memory, gmail/slack/github, web) | resources / MCP servers / memory | | **Actions** | "What does it do?" (draft, write, call APIs, run code) | agent toolset / custom tools / MCP | | **Done** | "How would you grade a good run?" | outcome `rubric` (required) | | **Recurrence** | "Once, on request, or on a cadence?" | single-pass / grade-loop / cron-loop |
See [`../../references/interview-to-config.md`](../../references/interview-to-config.md) for the full mapping.
1. **Interview.** Walk the six slots. Capture the founder's own words — never invent specifics they didn't claim. 2. **Map to primitives.**
python3 scripts/interview_planner.py \
--job "Triage overnight support email" --trigger schedule \
--inputs "gmail,memory" --actions "label,reply" \
--dod "one label per email, grounded reason, no invented facts" \
--recurrence daily --out ./my-agent/plan.jsonMCP inputs become **schema-true mock custom tools** in v0 and a **v1 deferral** to wire the real server. Irreversible actions (send/publish) become **v2 deferrals** behind `always_ask`. 3. **Assemble the sheet.**
python3 scripts/build_sheet_builder.py --plan ./my-agent/plan.json --out-dir ./my-agent
4. **Validate limits.**
python3 scripts/primitives_validator.py --sheet ./my-agent/build-sheet.json
FAIL blocks progress; fix and re-run. WARN is advisory (surface it). 5. **Record the plan in the goal.** `goal_state.py set --phase stage-launch --artifact build_sheet=./my-agent/build-sheet.json`, then advance.
reason and an exact mechanism.
1. "What one job — singular?" *Recommend:* the most-repeated task. *Cite:* interview-to-config.md. Two jobs → two agents. 2. "Real integration or v0 mock?" *Recommend:* mock; wire MCP as v1. *Cite:* interview-to-config.md rule 1. 3. "How do you grade it?" *Recommend:* 3–5 grounded rubric lines. *Cite:* cma-primitives.md (rubric required). 4. "Smarter over time?" *Recommend:* attach memory only if yes. *Cite:* cma-primitives.md (memory limits + injection). 5. "Once, or on a cadence?" *Recommend:* on-demand v0, schedule as Phase-4. *Cite:* loops-and-workflows.md.
411 production-ready skills for Claude Code and 12 other coding agents, covering engineering, product, marketing, compliance, finance and the C-suite. We test whether each skill loads when you ask in plain words, and publish the results.
Use when someone wants to build, launch, grade or schedule a Claude Managed Agent in their own Anthropic account ('build me an…
Use when a launched managed agent needs grading against a rubric and improving ('grade my agent', 'is it good enough'). Builds…
Use when a graded managed agent should run on a schedule, on an event trigger or on demand ('run it every morning'). Validates…
Use when a managed-agent build sheet is ready to launch ('launch it', 'deploy the agent'). Generates and validates API payloads…
Use when closing out a launched managed agent ('wrap up', 'what do I own now'). Inventories primitives with…
Use when a growth request needs routing between customer-success-manager, sales-engineer, revenue-operations and…
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid…
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI…