willoscar/research-pipeline-runner
Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints or diagnosed failures.
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner
The runner turns one requested outcome into an auditable Workspace. Its leading
word is continuation: every action must leave enough durable state for the
next command or agent to continue without reconstructing the Run from chat.
workspaces/<name>/ for a new one.PIPELINE.lock.md.GOAL.md, PIPELINE.lock.md, UNITS.csv,STATUS.md, CHECKPOINTS.md, and DECISIONS.md.
.harness/ and output/.Read the Goal and existing Workspace state. When no valid Pipeline lock exists,
use pipeline-router; load docs/PIPELINE_TAXONOMY.md only for that routing
branch. Preserve an existing valid lock.
Completion criterion: PIPELINE.lock.md names exactly one Pipeline and its
Unit template, and UNITS.csv belongs to that contract.
Run the Workspace Doctor or the equivalent Harness inspection. Resolve
recoverable projections first. Route integrity errors to an explicit repair;
retain all earlier Attempts and Decisions.
Completion criterion: the Workspace has either one eligible next Unit or one
specific blocking condition with a recorded next action.
For the next eligible Unit:
SKILL.md and selectively load its context pointers;Completion criterion: the Unit is committed as DONE with matching Attempt,
Manifest, and Artifact evidence, or it is BLOCKED with a diagnosable Failure.
The stop line is the first HUMAN checkpoint, unresolved Decision, failed
quality contract, missing required Artifact, or terminal execution error.
Summarize what exists, name the evidence to inspect, and leave one concrete
resume command or question.
Completion criterion: the Run never advances beyond a stop line, and another
operator can identify the blocker from Workspace files without chat history.
Repeat reconciliation and single-Unit execution while an eligible Unit exists.
After the final Unit, run Audit and Artifact Pack generation.
Completion criterion: target Artifacts exist, required Evaluations pass, Audit
contains no blocking issue, and the Artifact Pack indexes the delivery and Run
Evidence.
docs/PIPELINE_TAXONOMY.md, then the chosenpipelines/*.pipeline.md. The taxonomy owns the routing catalog; this Skill
does not duplicate it.
the active delivery profile before writing. Branch-specific markers and gates
live there.
path and preserve source provenance.
unit-executor while retaining the sameCompletion Protocol.
Use the outcome-first CLI for normal operation:
uv run rh goal create --topic "<topic>" --workflow <workflow> --workspace workspaces/<name>
uv run rh run start --workspace workspaces/<name>
uv run rh run resume --workspace workspaces/<name>
uv run rh run status --workspace workspaces/<name>
uv run rh evidence inspect --workspace workspaces/<name>
uv run rh improve diagnose --workspace workspaces/<name>
Use scripts/pipeline.py for maintainer debugging, explicit approvals, and
manual status transitions. The Pipeline adapter remains the only supported path
for changing Unit state.
Take willoscar/research-pipeline-runner from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.