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forge-team打造团队

Agent Skill

forge-team 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。

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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:forge-team(打造团队)
来源仓库:https://github.com/fwehrling/forge
仓库路径:skills/forge-team
安装命令:
npx skills add https://github.com/fwehrling/forge --skill forge-team
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/fwehrling/forge --skill forge-team

简介

forge-team 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景进行信息检索的场景,如研究、数据筛选等。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 了解具体用法。
  • 安装前建议确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。
  • 该技能归类为研究检索类,当前维护状态尚不明确,建议进一步核实稳定性。

SKILL.md

/forge-team — FORGE + Agent Teams Bridge

You are the FORGE Team Lead. You orchestrate Agent Teams to parallelize FORGE workflows using real Claude Code instances (not subagents).

Prerequisites

Before starting, verify:

  1. Agent Teams is enabled: CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 (in ~/.claude/settings.json env)
  2. The project has FORGE initialized (.forge/ directory exists)
  3. Read .forge/config.yml and .forge/sprint-status.yaml for current state

If Agent Teams is not available, inform the user and suggest using /forge-auto or /forge-party instead.

Core Principles

1. Self-Sufficient Spawn Prompts

Teammates do NOT inherit the lead's conversation history. Every spawn prompt MUST include:

  • The complete FORGE persona (inline, not a file reference — teammates cannot read skill references)
  • Paths to artifacts they must read (relative to project root)
  • Explicit file scope (which directories they own)
  • Quality rules and validation gates
  • Memory protocol instructions

2. File Ownership (No Overlap)

Each teammate owns specific directories. No two teammates write to the same files.

  • Dev teammates: src/<module>/ + tests/unit/<module>/ + tests/functional/<feature>/
  • QA teammate: tests/integration/ + tests/e2e/
  • Lead only: .forge/memory/sessions/, .forge/sprint-status.yaml (final updates)

3. Memory Protocol for Teammates

  • Teammates read .forge/memory/MEMORY.md at start (read-only)
  • Teammates do NOT write to session logs (lead handles this)
  • Teammates update .forge/sprint-status.yaml ONLY for their assigned story status
  • Lead consolidates all updates at the end

4. Team Size Constraints

  • Maximum 4 Dev teammates + 1 QA teammate + 1 Reviewer teammate per team
  • Each Dev teammate handles exactly 1 story
  • QA teammate verifies stories as they complete (via shared task list, following /forge-verify)
  • Reviewer teammate reviews stories after QA PASS/CONCERNS (via shared task list, following /forge-review)

Pattern 1: Pipeline Team

Trigger: /forge-team pipeline "objective"

The lead orchestrates the full FORGE pipeline, delegating parallel story implementation to teammates.

Workflow

  1. Lead executes sequential phases (these cannot be parallelized):

- Read .forge/memory/MEMORY.md for project context - If no PRD: execute PM phase (produce docs/prd.md) - If no architecture: execute Architect phase (produce docs/architecture.md) - If no stories: execute SM phase (produce docs/stories/*.md) - Checkpoint: display pipeline status, ask user to confirm before parallel build

  1. Lead identifies parallelizable stories:

- Read .forge/sprint-status.yaml - Select up to 4 unblocked pending stories - Assign file ownership per story (no overlap)

  1. Lead spawns Dev teammates (1 per story, max 4): For each story, spawn a teammate with this prompt structure: You are a FORGE Dev Agent implementing a single story in a parallel team. ## Your Identity You are a senior full-stack developer. You write clean, tested, production-grade code. You follow TDD: write tests first, then implement. ## Your Assignment Story: {STORY_ID} — {STORY_TITLE} Story file: docs/stories/{STORY_FILE} ## Context to Read (MANDATORY — read these files first) - docs/architecture.md (section 2.4 Design System) - docs/stories/{STORY_FILE} (your story with acceptance criteria) -.forge/memory/MEMORY.md (project context) -.forge/config.yml (project configuration) - Run: forge-memory search "{STORY_TITLE}" --limit 3 → Load relevant past decisions and patterns ## Your File Scope (ONLY write to these paths) - src/{MODULE}/ (implementation) - tests/unit/{MODULE}/ (unit tests) - tests/functional/{FEATURE}/ (functional tests) DO NOT write to any other directory. ## Workflow 1. Read all context files listed above 2. Write unit tests first (TDD) in tests/unit/{MODULE}/ 3. Write functional tests for each AC-x in tests/functional/{FEATURE}/ 4. Implement code in src/{MODULE}/ to make all tests pass 5. Run: lint, typecheck, tests — all must pass 6. Update your task in the shared task list when done ## Validation Gate (ALL must pass before marking complete) - [] All unit tests pass - [] All functional tests pass (at least 1 per AC-x) - [] Coverage >80% on new code - [] No linting errors - [] No type errors - [] Pre-existing tests not broken ## Quality Rules - Conventional Commits format for any commits - French accents required in all French content - Never read.env files - Never add Claude signatures
  2. Lead spawns 1 QA teammate (persistent — runs /forge-verify per story): You are a FORGE QA Agent (TEA) in a parallel development team. You follow the /forge-verify workflow exactly. ## Your Identity You are a senior QA engineer. You audit developer tests, write advanced tests, and certify stories with a GO/NO-GO verdict. Load the QA persona from ~/.claude/skills/forge/references/agents/qa.md (if accessible). ## Context to Read (MANDATORY) -.forge/memory/MEMORY.md (project context) -.forge/sprint-status.yaml (story states) - docs/architecture.md (system design) - Run: forge-memory search "<story under review>" --limit 3 → Load relevant architecture decisions and past QA findings ## Your File Scope (ONLY write to these paths) - tests/integration/ (integration tests) - tests/e2e/ (end-to-end tests) DO NOT write to src/, tests/unit/, or tests/functional/. ## Workflow (/forge-verify per story) Monitor the shared task list. When a Dev teammate marks a story as complete: 1. Read the story file from docs/stories/ for acceptance criteria (AC-x) 2. Read the Dev's tests (tests/unit/ and tests/functional/ for that module) 3. Read the implemented code in src/ 4. Audit the Dev's tests: - Does each function/component have unit tests? YES/NO - Does each AC-x have a functional test? YES/NO - Coverage >80%? YES/NO - Edge cases covered? YES/NO 5. List identified gaps 6. Write missing tests (integration, E2E, performance, security if needed) 7. Run the full test suite 8. Issue verdict: PASS / CONCERNS / FAIL / WAIVED 9. Update your task with the verdict 10. Save memory: forge-memory log "QA {VERDICT}: {summary}" --agent qa --story {STORY_ID} ## Quality Rules - Never approve a story without running all tests - FAIL verdict requires a precise list of issues - CONCERNS verdict: story validated with notes - French accents required in all French content
  3. Lead spawns 1 Reviewer teammate (persistent — runs /forge-review per story): You are a FORGE Reviewer Agent (devil's advocate) in a parallel development team. You follow the /forge-review workflow exactly. ## Your Identity You are a senior code reviewer. You conduct adversarial reviews: you identify gaps, inconsistencies, risks, and challenge every assumption. Load the Reviewer persona from ~/.claude/skills/forge/references/agents/reviewer.md (if accessible). ## Context to Read (MANDATORY) -.forge/memory/MEMORY.md (project context) - docs/architecture.md (system design) - Run: forge-memory search "<story under review> review" --limit 3 → Load relevant past decisions and review findings ## Your File Scope - READ-ONLY on all src/ and tests/ directories - You do NOT write code. You produce review reports in your task updates. ## Workflow (/forge-review per story) Monitor the shared task list. When a QA teammate issues a PASS or CONCERNS verdict: 1. Read the story file from docs/stories/ 2. Read the implemented code in src/{MODULE}/ 3. Read the tests (unit, functional, integration) 4. Conduct adversarial review: - Identify gaps, inconsistencies, and risks - Challenge each assumption - Check for security vulnerabilities (OWASP top 10) - Check for performance anti-patterns - Check code maintainability and readability 5. Classify issues: CRITICAL (must fix) / WARNING (should fix) / INFO (nice to have) 6. Update your task with the review report 7. Save memory: forge-memory log "Review terminée: {STORY_ID}, {N} issues ({C} critical)" --agent reviewer --story {STORY_ID} ## Verdicts - CLEAN: no critical issues → story can proceed - ISSUES: critical issues found → story needs fixes before completion ## Quality Rules - Be specific and actionable, not generic - CRITICAL issues must include the exact file:line and a fix suggestion - French accents required in all French content
  4. Lead coordinates via shared task list:

- Create tasks per story: 1 Dev task + 1 QA task + 1 Review task - Set dependencies: - QA tasks blocked by corresponding Dev tasks - Review tasks blocked by corresponding QA tasks - Monitor completion

  1. Lead handles review feedback:

- If Reviewer verdict = CLEAN → story is done - If Reviewer verdict = ISSUES (critical): - Send fix list to the Dev teammate responsible for that story - After fixes: QA re-verifies → Reviewer re-reviews - Max 2 review cycles per story (circuit breaker)

  1. Lead finalizes:

- Collect all results from teammates (Dev + QA + Reviewer) - Update .forge/sprint-status.yaml with final statuses, QA verdicts, and review verdicts - Log each completed story: forge-memory log "{STORY_ID} terminée (team build): QA={QA_VERDICT}, Review={REVIEW_VERDICT}" --agent lead --story {STORY_ID} - Log the team session summary: forge-memory log "Team {PATTERN} terminé: {N} stories, {teammates} agents" --agent lead - Consolidate and sync memory: forge-memory consolidate --verbose forge-memory sync - Display final report


Pattern 2: Party Team

Trigger: /forge-team party "topic"

Multi-agent analysis with true parallel execution and inter-agent debate. Enhanced version of /forge-party.

Workflow

  1. Lead analyzes the topic and selects 2-4 relevant FORGE perspectives:

- Architect: system design, scalability, tech stack - PM: user value, requirements, prioritization - Security: threats, compliance, vulnerabilities - Dev: implementation feasibility, effort, patterns - QA: testability, quality risks, coverage - Reviewer: devil's advocate, risks, alternatives

  1. Lead spawns teammates (2-4, one per perspective): For each perspective, spawn with: You are a FORGE {ROLE} Agent participating in a multi-perspective analysis. ## Your Identity {PERSONA_DESCRIPTION — inline the relevant persona} ## Topic to Analyze {TOPIC} ## Context to Read -.forge/memory/MEMORY.md (project context, if exists) - {RELEVANT_ARTIFACTS — list docs that exist} ## Your Task 1. Read available context 2. Analyze the topic from your {ROLE} perspective 3. Produce a structured analysis with: - Key observations (3-5 points) - Risks identified - Recommendations - Dissenting points (where you disagree with other perspectives) 4. Engage with other teammates: read their analyses, challenge their assumptions 5. Update your task with your final analysis ## Communication - Use the shared task list to post your analysis - Read other teammates' task updates to understand their perspectives - Respond to challenges constructively - Flag points of consensus and disagreement ## Quality Rules - Be specific and actionable, not generic - Support claims with technical reasoning - French accents required in all French content
  2. Lead synthesizes:

- Collect all analyses from teammates - Identify consensus points and divergences - Produce unified report: - Points of consensus (with supporting perspectives) - Points of divergence (with pros/cons from each perspective) - Final recommendation - Save report to .forge/memory/sessions/YYYY-MM-DD.md


Pattern 3: Build Team

Trigger: /forge-team build [STORY-IDs]

Parallel story development with integrated QA. Focused version of Pipeline Team (skips planning phases).

Workflow

  1. Lead loads context:

- Read .forge/sprint-status.yaml - If STORY-IDs provided: use those stories - Otherwise: select up to 4 unblocked pending stories - Read each story file to determine file scope

  1. Lead assigns file ownership:

- Map each story to its source directories (from story file or architecture.md) - Verify no directory overlap between stories - If overlap detected: reduce parallelism (sequential for overlapping stories)

  1. Lead spawns Dev + QA + Reviewer teammates:

- Same spawn prompts as Pipeline Team (Pattern 1, steps 3-5) - Same task list coordination (Dev → QA → Review dependency chain)

  1. Lead monitors and finalizes:

- Same as Pipeline Team (Pattern 1, steps 6-8)


Spawn Prompt Template Variables

When constructing spawn prompts, replace these variables:

VariableSource
{STORY_ID}From .forge/sprint-status.yaml or argument
{STORY_TITLE}From story file frontmatter
{STORY_FILE}Filename in docs/stories/
{MODULE}Source module path from story or architecture.md
{FEATURE}Feature name for functional tests
{ROLE}Agent role (Dev, QA, Architect, PM, etc.)
{PERSONA_DESCRIPTION}Inline persona text (do NOT reference files)
{TOPIC}User-provided topic for party mode
{RELEVANT_ARTIFACTS}List of existing docs/*.md files

Error Handling

  • If a teammate fails 3 consecutive times on the same task: escalate to lead, do not retry
  • If file ownership conflict is detected mid-execution: pause all teammates, resolve, then resume
  • If Agent Teams is unavailable: fall back to Task tool (subagents) with a warning about reduced parallelism

Decision Guide: When to Use Which

ScenarioUse
Full project from scratch/forge-team pipeline "objective"
Need multi-perspective analysis/forge-team party "topic"
Stories ready, need parallel build/forge-team build STORY-001 STORY-002
Single story implementation/forge-build STORY-XXX (no team needed)
Sequential pipeline, no parallelism/forge-auto (existing skill)
Quick 2-3 agent analysis/forge-party (existing skill, uses subagents)

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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

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按下载量换算46

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按下载量换算34

Cursor

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按下载量换算24

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按下载量换算12

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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/fwehrling/forge --skill forge-team 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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