Installs into .claude/skills of the current project.
Are you the author of Resume Pipeline?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/ai-analyst-lab-resume-pipeline)
---
name: resume-pipeline
description: Resume a specifically identified analysis using its verified run-local artifacts and controller state.
---
# Resume the requested analysis
1. Identify the exact run. Inspect question, inputs, plan and status. If several
match, ask which one. A latest link does not select the user's intended work.
2. Version 3 state uses `helpers.pipeline.controller.Controller`. Never overwrite
or reinterpret legacy state as version 3. Offer a new run with explicitly
selected, verified legacy artifacts while retaining the originals.
3. For blocked approval gates, show evidence and request approval. Record it only
after receiving it, with checkpoint, actor and reason. Local records are not
authenticated identities.
4. For failures, inspect the cause before retrying. Confirm an interrupted worker
is no longer running. Never remove a lock while another controller is active.
5. Run `python -m helpers.pipeline.controller run EXACT_RUN_DIRECTORY`, with
`--retry-failed` only for an intentional retry. Code validates definition and
artifact hashes and skips valid completed work. Changed definitions/artifacts
require a new reviewed run; do not silently reuse stale work.
6. Report the actual final status and outputs. Never manually change statuses or
create a deck for a plan that did not request one.
Authentication, tool permissions and workflow approvals are separate requirements.
See `docs/PIPELINE-CONTROLLER.md` for recovery and migration details.
