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brainstorm-beagle头脑风暴比格犬

Agent Skill

brainstorm-beagle 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

291

周安装

12

GitHub Stars

54

下载量

95
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:brainstorm-beagle(头脑风暴比格犬)
来源仓库:https://github.com/existential-birds/beagle
仓库路径:skills/brainstorm-beagle
安装命令:
npx skills add https://github.com/existential-birds/beagle --skill brainstorm-beagle
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/existential-birds/beagle --skill brainstorm-beagle

简介

头脑风暴比格犬将模糊创意转化为结构清晰的规格文档,明确 WHAT 和 WHY 而不涉及 HOW。

  • 适用于项目启动阶段,确保需求完整性和团队对齐,避免实施后返工。
  • 输出为独立可读的 spec 文档,可作为任何代理系统的输入或人工行动依据。
  • 严禁在此阶段编写代码或制定实施计划,仅产出需求级抽象说明。
  • brainstorm-beagle 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Brainstorm: Ideas Into Specs

Turn a fuzzy idea into a comprehensive, implementation-free project spec through collaborative dialogue.

The output is a standalone spec document — structured enough for any agentic system to consume, clear enough for a human to act on. It captures WHAT and WHY, never HOW.

<hard_gate> Do NOT write any code, create implementation plans, scaffold projects, or take any implementation action. This skill produces a SPEC DOCUMENT only. Every project goes through this process regardless of perceived simplicity — "simple" projects are where unexamined assumptions waste the most work. </hard_gate>

Workflow

Complete these steps in order:

  1. Check for a concept brief — if .beagle/concepts/<slug>/brief.md exists for this idea, ingest it and skip most of steps 2-4 (see *Concept brief ingestion* below)
  2. Explore context — read project files, docs, git history, existing specs (lighter pass if a brief is present)
  3. Assess scope — is this one spec or does it need decomposition?
  4. Ask clarifying questions — one at a time, follow the thread (few to none if a brief is present)
  5. Propose 2-3 directions — high-level product approaches with tradeoffs
  6. Draft spec — write the structured spec document
  7. Self-review — check for completeness, contradictions, implementation leakage (see references/spec-reviewer.md)
  8. User review — present for approval, iterate if needed
  9. Write to disk — save to .beagle/concepts/<slug>/spec.md
Brief present? ──→ Yes → Ingest brief (skip most discovery) ──┐
                ──→ No  → Explore context → Assess scope       │
                                            ├─ Too large? → Decompose → Brainstorm first sub-project
                                            └─ Right size? → Clarifying questions ─┘
                                                                                   │
Both paths converge → Propose directions → Draft spec → Self-review (fix inline) → User review
                                                                                        ├─ Changes? → Revise
                                                                                        └─ Approved? → Write to concept folder

The terminal state is a written spec. This skill does not transition to implementation, planning, or any other skill. The user decides what to do with the spec.

Concept brief ingestion

If the user invokes brainstorm-beagle on a concept that already has .beagle/concepts/<slug>/brief.md (produced by prfaq-beagle on pass), ingest the brief at step 1 and skip most discovery:

  1. Read the brief. Customer, problem, solution concept, stakes, forged decisions, and research pointers are already codified. Do not re-interview the user on these.
  2. Skim the PRFAQ reference. Open .beagle/concepts/<slug>/prfaq.md for the Reasoning blocks — they explain what was challenged and why earlier decisions were made. This is context, not content to re-litigate.
  3. Open questions become your starting point. The brief's *Open Questions* section lists what PRFAQ surfaced but did not close. These are what you ask the user about — not customer, problem, or motivation, which are already decided.
  4. Proceed to Exploring Directions. Skip Clarifying Questions and Scope Assessment unless the brief is ambiguous about scope itself.

The brief is a context handoff, not a gate. Run your own Self-Review on the spec you produce — brainstorm-beagle remains responsible for implementation-leakage detection, requirement testability, and scope discipline regardless of how much discovery was pre-done upstream.

When there is no brief: proceed through steps 2-9 normally. Not every idea comes from PRFAQ.

Questioning

You are a thinking partner, not an interviewer. The user has a fuzzy idea — your job is to help them sharpen it.

How to question:

  • Start open. Let them dump their mental model. Don't interrupt with structure.
  • Follow energy. Whatever they emphasized, dig into that. What excited them? What problem sparked this?
  • Challenge vagueness. Never accept fuzzy answers. "Good" means what? "Users" means who? "Simple" means how?
  • Make the abstract concrete. "Walk me through using this." "What does that actually look like?"
  • Clarify ambiguity. "When you say Z, do you mean A or B?"
  • Know when to stop. When you understand what, why, who, and what done looks like — offer to proceed.

Question mechanics:

  • One question per message. If a topic needs more, break it into multiple messages.
  • Prefer multiple choice when possible — easier to react to concrete options than open-ended prompts.
  • When the user selects "other" or wants to explain freely, switch to plain text. Don't force them back into structured choices.
  • 2-4 options is ideal. Never use generic categories ("Technical", "Business", "Other").

What to ask about:

Ask aboutExamples
Motivation"What prompted this?" "What are you doing today that this replaces?"
Concreteness"Walk me through using this" "Give me an example"
Clarification"When you say X, do you mean A or B?"
Success"How will you know this is working?" "What does done look like?"
Boundaries"What is this explicitly NOT?"

What NOT to ask about:

  • Technical implementation details (that's for planning)
  • Architecture patterns (that's for planning)
  • User's technical skill level (irrelevant — the system builds)
  • Success metrics (inferred from the work)
  • Canned questions regardless of context ("What's your core value?", "Who are your stakeholders?")

Background checklist (check mentally, not out loud):

  • What they're building (concrete enough to explain to a stranger)
  • Why it needs to exist (the problem or desire driving it)
  • Who it's for (even if just themselves)
  • What "done" looks like (observable outcomes)

When all four are clear, offer to proceed. If the user wants to keep exploring, keep going.

Scope Assessment

Before diving into questions, assess whether the idea is one project or several.

Signs it needs decomposition:

  • Multiple independent subsystems ("build a platform with chat, file storage, billing, and analytics")
  • No clear ordering dependency between parts
  • Would take multiple months of work

When decomposition is needed:

  1. Help the user identify the independent pieces and their relationships
  2. Establish what order they should be built
  3. Brainstorm the first sub-project through the normal flow
  4. Each sub-project gets its own spec

For right-sized projects, proceed directly to clarifying questions.

Exploring Directions

After understanding the idea, propose 2-3 high-level directions. These are product directions, not technical architectures.

Good directions:

  • "A CLI tool that operates on single files vs. a daemon that watches directories"
  • "A focused MVP with just the core loop vs. a broader first version with supporting features"
  • "Optimized for speed of use (power users) vs. optimized for discoverability (new users)"

Bad directions (implementation leaking in):

  • "React with a REST API vs. HTMX with server-side rendering"
  • "PostgreSQL vs. SQLite for storage"
  • "Monorepo vs. polyrepo"

Lead with your recommendation and explain why. Present tradeoffs conversationally.

Scope Discipline

Brainstorming naturally generates ideas beyond the current scope. Handle this gracefully:

When the user expands scope mid-brainstorm:

"That's a great idea but it's its own project/phase. I'll capture it in Future Considerations so it's not lost. For now, let's focus on [current scope]."

The heuristic: Does this clarify what we're building, or does it add a new capability that could stand on its own?

Capture deferred ideas in the spec's "Future Considerations" section. Don't lose them, don't act on them.

Implementation Leakage

The spec must never prescribe implementation. This is the hardest discipline.

Allowed (WHAT)Not allowed (HOW)
"Users can filter results by date and category""Add a /api/filter endpoint that accepts query params"
"Must support 10k concurrent users""Use Redis for session caching"
"Data must persist across sessions""Store in PostgreSQL with a users table"
"Must work offline""Use a service worker with IndexedDB"
"Search must feel instant""Use Elasticsearch with debounced queries"

Exception — constraints: When the user has genuine constraints ("must use PostgreSQL because that's what our infra runs"), those go in the Constraints section with rationale. A constraint is a boundary condition, not a design choice made during brainstorming.

Spec Format

Use the template in references/spec-template.md. The spec has these sections:

  1. Core Value — ONE sentence, the most important thing
  2. Problem Statement — what problem, who has it, why now
  3. Requirements — must have, should have, out of scope (with reasons)
  4. Constraints — hard limits with rationale
  5. Key Decisions — decisions made during brainstorming with alternatives considered
  6. Reference Points — "I want it like X" moments, external docs, inspiration
  7. Open Questions — unresolved items needing future research
  8. Future Considerations — ideas that emerged but belong in later phases

Requirements must be concrete and testable:

Good requirementBad requirement
"User can undo the last 10 actions""Good undo support"
"Page loads in under 2 seconds on 3G""Fast performance"
"Works with screen readers""Accessible"
"Export to CSV and JSON""Multiple export formats"

Self-Review

After drafting the spec, review it for:

  1. Placeholders — any TBD, TODO, vague requirements? Fix them.
  2. Contradictions — do any sections conflict? Resolve them.
  3. Implementation leakage — does any requirement prescribe HOW? Rewrite as WHAT.
  4. Untestable requirements — could someone verify this was met? Make it concrete.
  5. Missing rationale — do constraints and out-of-scope items explain WHY? Add reasons.
  6. Scope — is this focused enough for a single planning cycle?

Fix issues inline. Then present to the user for review.

See references/spec-reviewer.md for the detailed review checklist.

Writing the Spec

  • Default path: .beagle/concepts/<slug>/spec.md
  • Slug source: inherit from brief.md frontmatter if a brief was ingested; otherwise derive a kebab-case slug from the concept headline (≤40 chars, no dates). User preferences override the default path.
  • Companion outputs in-session: if brainstorm-beagle invokes web-research or artifact-analysis mid-session, pass output_dir: /abs/path/.beagle/concepts/<slug>/research/ or /abs/path/.beagle/concepts/<slug>/analysis/ so findings share the concept folder with anything PRFAQ produced upstream. This keeps the whole concept-forging audit trail in one place.
  • Commit to git with message: docs: add <slug> project spec
  • After writing, tell the user: "Spec written to <path>. Review it and let me know if you want changes."
  • Wait for approval before considering the brainstorm complete.

Key Principles

  • One question at a time — don't overwhelm
  • Follow the thread — don't walk a checklist
  • YAGNI ruthlessly — remove anything that isn't clearly needed
  • Concrete decisions only — "card-based layout" not "modern and clean"
  • No implementation — WHAT and WHY, never HOW
  • Capture everything — ideas outside scope go to Future Considerations, never lost
  • Incremental validation — confirm understanding before moving on
  • The spec stands alone — anyone should be able to read it and understand the project

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.04%
按下载量换算35

Claude

29.95%
按下载量换算28

Cursor

17.58%
按下载量换算17

Gemini CLI

7.97%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/existential-birds/beagle --skill brainstorm-beagle 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

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