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speckit-feature-orchestratorSpeckit 功能协调器

Agent Skill

speckit-feature-orchestrator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

222

周安装

9

GitHub Stars

1

下载量

70
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:speckit-feature-orchestrator(Speckit 功能协调器)
来源仓库:https://github.com/mwillbanks/agent-skills
仓库路径:skills/speckit-feature-orchestrator
安装命令:
npx skills add https://github.com/mwillbanks/agent-skills --skill speckit-feature-orchestrator
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/mwillbanks/agent-skills --skill speckit-feature-orchestrator

简介

speckit-feature-orchestrator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适用于前端设计相关场景中协调功能开发与协作流程。
  • 通过 npx skills add 命令从 GitHub 仓库安装并使用。
  • 使用前应核实权限、维护状态及是否涉及敏感操作如命令执行。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

speckit-feature-orchestrator

Use this skill when the repository already uses Speckit or the user explicitly requests Speckit, and the goal is to take a feature from idea through implementation-ready Speckit artifacts in one managed flow.

This skill supports two modes:

  • iterate

- Default mode. - Used when the user wants to discuss, refine, pressure test, and shape the feature before executing the full Speckit workflow. - At the end of every iteration, present a selectable markdown table with exactly these columns: Choice, Name, Reasoning, Recommended. - The table must always include these option names: Execute feature specification process and Continue iterating (type what you want). - Exactly one row may be marked as recommended using the green checkbox emoji .

  • direct

- Used when the user wants the agent to infer the missing structure and immediately execute the feature specification process. - Do not pause for discussion unless a hard blocker exists.

This skill is management-agent centric. You are the chief-architect governor of the workflow. You are responsible for preserving context, preventing drift, directing subagents, validating every phase, and remediating issues surfaced by analysis.

See:

Eligibility gate

Before using this skill, confirm that Speckit is actually the intended workflow.

High-confidence signals include:

  • repository docs, agent instructions, or automation that explicitly reference Speckit
  • a Speckit-style workflow surface such as .specify/constitution.md plus governed feature packets
  • existing feature artifacts that follow a Speckit-like spec.md, plan.md, and tasks.md packet
  • prompts that explicitly ask for Speckit or a constitution/specify/clarify/plan/tasks/analyze flow

If those signals are weak or mixed:

  • do not introduce Speckit into the repository
  • do not invent Speckit terminology or structure
  • hand the workflow back to a repository-aware planner such as agent-execution-mode in specification-and-plan

Core operating model

You are the management agent.

Subagents perform the specialized steps. You do not blindly accept subagent output. You validate each artifact before progressing. You remediate weakness before allowing the workflow to continue.

Your responsibilities:

  • maintain the complete feature context across all phases
  • infer missing structure where justified by repository context and user intent
  • keep outputs constitutionally aligned
  • prevent scope drift and contradictory instructions
  • ensure downstream artifacts are implementation ready
  • preserve existing specification history and update artifacts in place on rework
  • fully close the analyze loop before declaring completion

Mode selection

Determine mode using the following rules:

  • If the user explicitly asks to brainstorm, iterate, discuss, pressure test, shape, or refine the feature first, use iterate.
  • If the user explicitly asks to just do it, run Speckit, generate the full flow, or go straight through the workflow, use direct.
  • If the user does not specify, use iterate by default.

Iterate mode behavior

In iterate mode:

  1. Restate the feature in a sharper, implementation-oriented way.
  2. Identify likely gaps, hidden constraints, repository concerns, boundary conditions, and likely architectural implications.
  3. Provide concrete recommendations that improve the feature definition.
  4. Draft the working feature foundation that will later feed the Speckit prompts.
  5. End every iteration with a selectable markdown table using the columns Choice, Name, Reasoning, and Recommended.
  6. Include the option names Execute feature specification process and Continue iterating (type what you want) in that table.
  7. Mark exactly one row as recommended with .

Do not run the full execution workflow until the user chooses Execute feature specification process.

Direct mode behavior

In direct mode:

  1. Confirm the eligibility gate first, then infer the missing context from the user request, repository norms, and known architectural constraints.
  2. Build the feature foundation immediately.
  3. Execute the full feature specification process without pausing for optional discussion.
  4. Run clarification in a bounded window of 3 to 10 total rounds when needed.
  5. Only stop early if a true blocker prevents a grounded result.

Feature foundation requirements

Before execution, produce a structured feature foundation using the template in assets/templates/feature-intake-template.md.

The foundation must include:

  • feature name
  • problem statement
  • why it matters
  • current behavior
  • required changes
  • explicit non-goals
  • constraints and repository boundaries
  • architectural guidance
  • API or interface guidance
  • UX guidance where relevant
  • performance and safety expectations
  • testing expectations
  • open assumptions you chose to resolve
  • existing spec artifacts that must be preserved or updated on rework

This foundation is the source of truth for building the downstream prompts.

Execute feature specification process

When execution begins, use the management prompt template in:

  • assets/templates/management-agent-prompt.md

Before use, replace every placeholder with concrete content assembled from the feature foundation.

Required placeholders:

  • {{FEATURE_NAME}}
  • {{FEATURE_CONTEXT}}
  • {{CONSTITUTION_AMENDMENT_PROMPT}}
  • {{SPECIFY_PROMPT}}
  • {{PLAN_PROMPT}}
  • {{CLARIFY_MAX_ROUNDS}}

Prompt construction rules are defined in references/PROMPT_ASSEMBLY.md.

Required execution sequence

Once the execution process starts, enforce this exact sequence:

  1. Amend constitution using speckit-constitution
  2. Create specification using speckit-specify
  3. Run clarification loop using speckit-clarify
  4. Generate implementation plan using specify-plan
  5. Generate tasks using specify-tasks
  6. Run analyze loop using speckit-analyze
  7. Return final summary

Do not skip steps. Do not reorder steps. Do not parallelize steps. Do not advance until the current step has been validated.

Clarification loop discipline

During clarification:

  • the subagent executes the clarify step
  • if clarification is needed, the subagent asks the management agent
  • the management agent answers using full workflow context and prior artifacts
  • the management agent should decide grounded ambiguities proactively when enough information exists
  • preserve and amend existing spec artifacts instead of replacing them when rework is needed
  • after each clarification round, validate the specification again
  • do not proceed until the specification is sufficiently clarified and ready for planning
  • default clarification rounds: 3
  • in direct mode, keep the total clarification window between 3 and 10 rounds inclusive
  • increase only when there is substantial justified ambiguity
  • do not create artificial clarifying churn

Analyze loop discipline

During analysis:

  • the subagent executes the analyze step
  • all surfaced issues must be reviewed by the management agent
  • the management agent owns remediation
  • after remediation, rerun analysis
  • continue until no material issues remain
  • do not close with known unresolved contradictions, gaps, or drift

Validation standard

For every step, validate against the rubric in references/VALIDATION_RUBRIC.md.

At minimum validate:

  • alignment with original feature intent
  • alignment with repository and architectural constraints
  • constitutional alignment
  • completeness of the current phase
  • internal consistency
  • technical feasibility
  • absence of contradictory or unsafe instructions
  • readiness for the next phase

If validation fails:

  • stop progression
  • remediate the weakness
  • revalidate
  • continue only after the artifact passes

Final output requirements

At workflow completion, provide a final summary using:

  • assets/templates/final-summary-template.md

The final summary must include:

  • what was done
  • any changes made to the original feature
  • clarifications that materially changed implementation direction
  • constitutional changes introduced
  • plan or task refinements introduced during remediation
  • any noteworthy assumptions resolved by management judgment

Non-negotiable rules

  • Think like a manager of subagents, not a passive prompt runner.
  • Preserve continuity from the first iteration through final analysis closure.
  • Prevent scope drift aggressively.
  • Prefer decisive, grounded judgments over unnecessary open questions.
  • Do not mark a phase complete because a subagent produced output.
  • Do not accept weak artifacts merely because they are syntactically complete.
  • Do not replace existing spec artifacts during rework when a targeted update will preserve history and correctness.
  • Ensure outputs are usable by a downstream implementation agent without avoidable ambiguity.

Minimal activation flow

  1. Select mode.
  2. Build or refine the feature foundation.
  3. In iterate mode, continue iterations until the user chooses execution.
  4. Assemble the management prompt from the foundation.
  5. Run the sequential workflow through subagents.
  6. Validate after every step.
  7. Remediate until analysis is clean.
  8. Return final summary.

Example triggers

Activate this skill when the user says things like:

  • “Let’s talk through a new feature before we run Speckit.”
  • “Take this feature from constitution to plan in one pass.”
  • “Use Speckit and subagents to generate the full feature workflow.”
  • “Iterate on this feature, then run the full specification process.”
  • “Here is the feature, figure out the rest and produce the full Speckit flow.”

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

33.78%
按下载量换算24

Claude

29.11%
按下载量换算20

Cursor

19.07%
按下载量换算13

Gemini CLI

10.2%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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