Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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。
Run long or failure-prone Claude Code tasks as bounded, resumable loops with a durable state machine, attempt budget, and verification evidence checkpoint.
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。
Use this skill when a task can be interrupted, needs bounded retries, or must prove verification before it is called complete. It adds a small local checkpoint file around ordinary Claude Code work so a new context can resume from explicit state instead of reconstructing progress from chat.
The included Node.js utility stores state and evidence. It does not execute commands, call a model, spawn agents, access secrets, or contact a network service. Claude Code remains responsible for each actual tool call and for deciding whether a human approval is required.
Do not use it for a one-line edit or a workflow that already has its own durable runner.
The checkpoint uses these states and only these transitions:
planned -> running
running -> verifying | failed | blocked
verifying -> succeeded | running | failed | blocked
succeeded, failed, and blocked are terminal. Entering running consumes one attempt, and the finite maxAttempts value cannot be exceeded. A transition to succeeded is rejected until the checkpoint contains at least one passing evidence record from verifying.
Choose a project-local path that is not committed with application code, for example .agent/checkpoints/data-migration.json. Keep objectives, reasons, and evidence free of API keys, tokens, passwords, personal data, and raw secret-bearing logs.
Set the helper path for the commands below:
SKILL_DIR="<absolute path to the installed checkpointed-agent-loop skill>"
CHECKPOINT=".agent/checkpoints/task.json"
Initialize with a finite budget:
node "$SKILL_DIR/scripts/checkpoint-loop.mjs" init \
--file "$CHECKPOINT" \
--task "data-migration" \
--objective "Migrate the user table without losing records" \
--max-attempts 3 \
--next-action "Inspect the current migration and test fixture"
Before making the change, persist the next action and enter running:
node "$SKILL_DIR/scripts/checkpoint-loop.mjs" transition \
--file "$CHECKPOINT" \
--to running
Use Claude Code-native tools for exactly the bounded action described by nextAction. Do not turn one attempt into an unbounded plan.
After the action, move to verification before deciding the outcome:
node "$SKILL_DIR/scripts/checkpoint-loop.mjs" transition \
--file "$CHECKPOINT" \
--to verifying
Run the relevant check yourself. The helper records a check name and outcome; it never runs that check for you:
node "$SKILL_DIR/scripts/checkpoint-loop.mjs" evidence \
--file "$CHECKPOINT" \
--check "npm test -- workspace migration" \
--outcome passed \
--artifact "artifacts/migration-test.txt"
Only cite an artifact that exists and is safe to share. A failed check can be recorded with --outcome failed; do not convert it to a passing record by rewriting the expected value.
If verification is genuinely passing:
node "$SKILL_DIR/scripts/checkpoint-loop.mjs" transition \
--file "$CHECKPOINT" \
--to succeeded
If the change needs another bounded attempt, provide a concrete next action and reason:
node "$SKILL_DIR/scripts/checkpoint-loop.mjs" transition \
--file "$CHECKPOINT" \
--to running \
--next-action "Fix the null-row fixture and rerun the focused test" \
--reason "Verification found a reproducible null-row failure"
Use failed for a terminal technical failure. Use blocked only when progress needs an external dependency or human decision:
node "$SKILL_DIR/scripts/checkpoint-loop.mjs" transition \
--file "$CHECKPOINT" \
--to blocked \
--reason "Waiting for the database owner to approve the production window"
Read the checkpoint before doing any work in a new session:
node "$SKILL_DIR/scripts/checkpoint-loop.mjs" status \
--file "$CHECKPOINT" \
--format summary
For machine-readable recovery, omit --format summary. Continue from nextAction, inspect the history and evidence, and never repeat a completed attempt merely because the old conversation is unavailable.
succeeded without passing verification evidence in the checkpoint.An agent initializes data-migration with three attempts, enters running, updates the migration, and is interrupted before verification. The next session runs status, sees running and the saved nextAction, performs only that action, then records the actual test result before moving to succeeded or a bounded retry.
An agent records a failed verification, transitions back to running with maxAttempts: 2, and fails the same focused check on the second attempt. A third transition into running is rejected with attempt budget exhausted; the agent must report the failure or escalate rather than silently looping forever.
The script has a local Node test suite covering legal transitions, terminal immutability, attempt limits, evidence rules, malformed input, atomic persistence, and rejected-operation preservation:
node --test "$SKILL_DIR/scripts/checkpoint-loop.test.mjs"
The repository validator checks the frontmatter and directory/name contract:
node scripts/validate-skills.js
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概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
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。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
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。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
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。
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
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。
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
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。