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Execute a plan produced by `/plan` — one task at a time, with tests and an independent review after each task.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | work |
| description | Execute a plan produced by `/plan` — one task at a time, with tests and an independent review after each task. |
Execute a plan file at ai/tickets/YYYY-MM-DD-*.md produced by /plan. The file starts with # Plan: [Name] and contains ## Task N: [Name] sections with checkboxes.
## Validation in the plan. If any fail, fix the root cause — don't skip.If the task is the last one and the user approves, move the plan file to ai/tickets/completed/.
Use the Agent tool (not the Skill tool — this is a sub-agent running ai-review, not you invoking it yourself). Substitute [N] and [plan-file-path]:
Agent({
description: "Review Task [N]",
subagent_type: "general-purpose",
prompt: "Use skill ai-review to review implementation of Task [N] from [plan-file-path]. Think hard. The changes are uncommitted. Return your review output; do not change any files."
})
If the user specified codex for reviews, instead run via the Bash tool:
codex exec --model gpt-5.3-codex --sandbox workspace-write --full-auto "<prompt>"
Check recent HL7v2 processing errors in Aidbox, diagnose root causes, suggest fixes. Use when asked to check errors, diagnose failures, or troubleshoot message processing.
Look up FHIR R4 resource/datatype fields, types, cardinality, reference targets, and coded enums (including custom resources like IncomingHL7v2Message, OutgoingBarMessage). Use when writing converters or verifying FHIR compliance.
Build a new HL7v2→FHIR message converter or extend an existing one. Orchestrates requirements gathering, then delegates to `/plan` and `/work`.
Create a checkbox task plan for a feature or fix. Output is a markdown file that `/work` executes one task at a time.
Authenticate ad-hoc curl requests to the local Aidbox using the root Client secret from docker-compose.yaml. Use for debugging and one-off queries from the shell (not from app code — `src/aidbox.ts` already wraps auth).
Look up HL7v2 segment fields, datatypes, components, tables, and message structures. Use when writing converters, checking field positions/optionality, or verifying HL7v2 spec compliance.