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Celesteops review

Skill whykusanagi/celeste-ops/skills/celesteops-review

Use when the user asks an agent to review specs, plans, notes, pending approvals, or content tracked in CelesteOps. Prefer the CelesteOps MCP tools when available; start from the pending-review queue or project rollups, read linked documents and tasks for context, summarize decision points, and only change review state when the user explicitly asks.From its SKILL.md

Install
npx -y skills add whykusanagi/celeste-ops --skill celesteops-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.6 KB, 705 tokens by cl100k_base, as published. Nobody here has run it

CelesteOps Review

Use this skill when CelesteOps is the source of truth for review state. The goal is to help the user understand what is waiting in CelesteOps, what each item is asking for, and what should happen next.

Quick start

  1. Confirm the session exposes CelesteOps MCP tools. Tool names may be namespaced; match by suffixes such as documents_pending_review, documents_pending_decisions, document_get, document_set_review_status, document_decision_resolve, documents_search, documents_for_entity, document_backlinks, tasks_search, tasks_list, projects_list, and pipeline_list.
  2. If CelesteOps tools are not available, inspect ../../README.md for the MCP connection shape and tell the user the skill cannot operate the review queue until the MCP is attached. Do not mutate SQLite directly as a substitute.
  3. For document review, start with documents_pending_review and documents_pending_decisions — a doc can wait on a user choice (an agent-authored decision) without being in the review-status queue.
  4. For repo-scoped review, also call projects_list and then the relevant task or document search tools.
  5. For content-pipeline review rather than document approval, start with pipeline_list.

Review rules

  • Read the full document with document_get before recommending approval or modification. document_get returns {document, comments, decisions} — read the embedded reasoning chain (agent comments + any open/resolved decisions) so you summarize the doc and its unresolved choices together.
  • Pull surrounding context with documents_for_entity, document_backlinks, tasks_search, or tasks_list when a doc references a task, repo, feature, or prior plan.
  • Treat CelesteOps as the workflow system of record. If auxiliary MCP tools such as celeste_index or celeste_code_review are available, use them only to validate claims or inspect referenced code; do not let them replace the CelesteOps review state.
  • Summarize review items in operator language: what this is, what decision is being requested, notable risks, and the recommended next action.
  • Only call document_set_review_status when the user explicitly asks to approve, mark modified, clear review state, or submit something for review. The same rule covers document_decision_resolve (picking the chosen option / leaving a resolution note) and approve-with-note: these record the user's decision, so perform them only on explicit instruction. When the user approves or marks-modified with a reason, pass that reason as the note so it is filed as a comment on the status change.
  • Avoid destructive cleanup during review. Prefer updating status or leaving notes over deleting docs or tasks.

Deep references

  • Use references/review-workflow.md for the normal decision tree and response shape.
  • Use ../../MCP.md only when you need exact tool contracts or edge-case behavior. It is the authoritative reference but much larger than the workflow guide.

If you need a narrow section from MCP.md, search it first:

rg -n "documents_pending_review|documents_pending_decisions|documents_review_changes_since|document_set_review_status|document_decision_resolve|document_get|documents_for_entity|document_backlinks|projects_list|pipeline_list|tasks_search" ../../MCP.md

What ships with it: 1 file

3.3 KB alongside SKILL.md

references/

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Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.