Agent skill · Documentation

resolve-beagle

Use as the follow-up to brainstorm-beagle when a spec has an Open Questions section (or quietly carries latent gaps) that need closing before planning or implementation can begin. Triggers on: \"resolve the open questions\", \"close the gaps in this spec\", \"research the open items\", \"finalize my spec\", \"make this spec implementation-ready\", \"answer the TBDs\". Also triggers whenever the user points at a brainstorm-beagle spec and asks for research, proposals, or answers to unresolved items. Orchestrates parallel research subagents when available (falls back to inline sequential researc

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill resolve-beagle --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/analysis/resolve-beagle/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Resolve: Close Spec Gaps Take a spec produced by `brainstorm-beagle` and close its remaining gaps — both the explicit Open Questions and the latent ones the self-review missed — by researching, proposing answers, and rewriting the spec in place. The terminal state is a spec with no known open questions and no placeholder requirements. Planning can start immediately after. <hard_gate> This skill does not write code, scaffold projects, design architecture, or create implementation plans. It only edits the spec document. "Answering an open question" means proposing a WHAT/WHY answer with rationale — never a HOW. If a question turns out to require implementation design, defer it with a note and move on. </hard_gate> ## Gates (pass before next step) Objective pass conditions so steps are not skippable by assertion alone: 1. **Spec located** — The target file path is known and `Read` succeeds (or the user supplied a valid path after you listed 3–5 recent `docs/specs/` candidates). 2. **Gap list published** — One message lists every explicit Open Question bullet **and** each latent gap you will treat as in-scope. **Do not dispatch research** until the user adjusts the list (add/remove/d

What's inside
Steps it walks through
  1. Gates (pass before next step)
  2. Workflow
  3. Locating the spec
  4. Extracting gaps
  5. Dispatching research
  6. With subagents (preferred)
  7. Without subagents
  8. Proposing answers
  9. Rewriting the spec
  10. Self-review
  11. Committing
  12. Key Principles
Ships with 1 file
  • metadata.json
More from claude-skill-registry
All skills →
About this skill
What does the resolve-beagle skill do?

Use as the follow-up to brainstorm-beagle when a spec has an Open Questions section (or quietly carries latent gaps) that need closing before planning or implementation can begin. Triggers on: \"resolve the open questions\", \"close the gaps in this spec\", \"research the open items\", \"finalize my spec\", \"make this spec implementation-ready\", \"answer the TBDs\". Also triggers whenever the user points at a brainstorm-beagle spec and asks for research, proposals, or answers to unresolved items. Orchestrates parallel research subagents when available (falls back to inline sequential researc

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill resolve-beagle --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going