Phase 2 of building a Claude Managed Agent — turn a validated build sheet into exact API payloads and a resumable BYOK curl launch script, then launch (environment → agent → session → kickoff) using the founder's OWN Anthropic key. Use when the user says "launch it", "deploy the agent", "create the agent now", or when the orchestrator routes phase=stage-launch. payload_generator.py emits the four ordered payloads; launch_script_writer.py writes launch.sh that reads $ANTHROPIC_API_KEY at runtime and never embeds it; payload_validator.py runs a pre-launch check including an API-key-leak scan. No tool in this skill makes network calls — the user runs launch.sh themselves. Distinct from interview (planning) and grade-iterate (the outcome loop).
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Turn the build sheet into runnable artifacts, then let the founder launch with
their own key. No script here touches the network or the key — the user runs
launch.sh.
python3 scripts/payload_generator.py \
--sheet ./my-agent/build-sheet.json --out-dir ./my-agent
# -> ./my-agent/payloads/{01-environment,02-agent,03-session,04-kickoff}.json
always_allow; every MCP toolset → always_ask (baked into
the agent payload's permission_policies).python3 scripts/launch_script_writer.py --out-dir ./my-agent
launch.sh creates environment → agent → session → kickoff in order,
chaining IDs, and resumes on re-run (each step skips if its *.id file
exists). It reads $ANTHROPIC_API_KEY at runtime.python3 scripts/payload_validator.py --dir ./my-agent
key_leak finding. Fix and re-run.[ -n "$ANTHROPIC_API_KEY" ] && echo "key present" || echo "export ANTHROPIC_API_KEY=... first"
export ANTHROPIC_API_KEY=... # in their shell, not in chat
./my-agent/launch.sh
goal_state.py set --phase grade-iterate and advance.launch.sh reads it
from the environment; payload_validator.py scans for sk-ant-… leaks and FAILs.launch.sh continues from the last created ID.$ANTHROPIC_API_KEY
before anything. Cite: this SKILL, key-safety rules.always_ask. Cite:
cma-primitives.md (permissions).scripts/payload_generator.py — build sheet → 4 ordered API payloads.scripts/launch_script_writer.py — resumable BYOK curl launcher (no key handling).scripts/payload_validator.py — pre-launch check + API-key-leak scan.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
日本語の概要は準備中です。原文の説明を表示しています。
When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
日本語の概要は準備中です。原文の説明を表示しています。
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
日本語の概要は準備中です。原文の説明を表示しています。
Mint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. Use when an autonomous agent takes a side-effecting action that may need to be proven later, or when satisfying EU AI Act Article 12 record-keeping. Three decisions: whether an action needs a receipt, minting it, verifying it. Signing is delegated to the open-source OpenAgentOntology package. Not after-the-fact log analysis; not a hosted notary; not a legal opinion.
日本語の概要は準備中です。原文の説明を表示しています。