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plan计划

Agent Skill

plan 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:plan(计划)
来源仓库:https://github.com/boshu2/agentops
仓库路径:skills/plan
安装命令:
npx skills add https://github.com/boshu2/agentops --skill plan
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/boshu2/agentops --skill plan

简介

plan 将目标拆解为可追踪的 Issues 并生成计划文档。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中管理复杂任务流。
  • 自动生成 .agents/plans/*.md 文件,可选集成 bd 创建真实 Issue。
  • 支持 --auto 跳过人工审批门控,适用于全自动生命周期场景。
  • plan 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Plan Skill

Quick Ref: Decompose goal into trackable issues with waves. Output: .agents/plans/*.md + bd issues.

YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.

CLI dependencies: bd (issue creation). If bd is unavailable, write the plan to .agents/plans/ as markdown with issue descriptions, and use TaskList for tracking instead. The plan document is always created regardless of bd availability.

Flags

FlagDefaultDescription
--autooffSkip human approval gate. Used by /rpi --auto for fully autonomous lifecycle.
--fast-pathoffForce Minimal detail template (see Step 3.2)
--skip-symbol-checkoffSkip symbol verification in Step 3.6 (for greenfield plans)
--skip-audit-gateoffSkip baseline audit gate in Step 6 (for documentation-only plans)

Execution Steps

Given /plan <goal> [--auto]:

Step 0: Bead-Input Pre-Flight (Stale-Scope Gate)

When the input to /plan is a bead ID (matches pattern [a-z]{2,6}-[0-9a-z.]+) AND any of the following conditions hold, automatically run ao beads verify <bead-id> as the very first action before any other planning step:

  • complexity is "full"
  • the bead is older than 7 days
  • the bead description was filed by a prior session (e.g., handoff-sourced, deferred, or reopened)
# Example guard — run before Step 1
if [[ "$INPUT" =~ ^[a-z]{2,6}-[0-9a-z.]+$ ]]; then
    ao beads verify "$INPUT" || true
fi

If ao beads verify reports any STALE citations, present them to the user (or log them to the execution packet in --auto mode) and ask for scope re-validation before proceeding to Step 1. Do not decompose against stale evidence.

This implements the shared stale-scope validation rule — re-validate inherited scope estimates against HEAD before acting on deferred beads, handoff docs, or prior-session plans.

Step 1: Setup

mkdir -p .agents/plans

Step 2: Check for Prior Research + Knowledge Flywheel

ls -la.agents/research/ and use Grep to find prior research. If found, read it before planning.

Then run ao search / ao lookup for prior planning patterns and apply (not just retrieve) any relevant learnings as planning constraints. Record citations with ao metrics cite --type applied|retrieved.

Read references/pre-decomposition.md for full flywheel-search commands, the apply-retrieved-knowledge contract, and section-evidence handling.

Step 2.1: Load Compiled Prevention First (Mandatory)

Load compiled planning rules from .agents/planning-rules/*.md (primary) and fall back to .agents/findings/registry.jsonl. Match by finding ID, applicable_when, language, literal goal-text overlap, and changed-file overlap. Cap at top 5.

Record applied finding IDs and how they changed the plan. Fail open on missing/malformed files. Read references/pre-decomposition.md for the full ranked-packet contract.

Active findings from .agents/findings/registry.jsonl are a fallback planning input. Every written plan must include an Applied findings: line, even when the value is none.

Step 2.2: Read and Validate Research Content

If research files exist, read the most recent one and verify it contains substantive sections (Summary, Findings, Architecture, Executive Summary, Recommendations) before proceeding. See references/pre-decomposition.md for the validation grep and warning behavior.

Step 3: Explore the Codebase (if needed)

Dispatch an Explore sub-agent (Task tool) with a prompt that demands symbol-level detail: file inventory, function/method signatures, struct/type definitions, reuse points with file:line, test file locations and naming conventions, import paths. Read references/pre-decomposition.md for the canonical explore prompt.

Pre-Planning Baseline Audit (Mandatory)

Before decomposing, run grep/wc/ls commands to quantify files to change, sections to add/remove, LOC to modify, coverage gaps. Record commands alongside results. File size limits (800-line SKILL.md lint limit) and test fixture counts are mandatory checks. Ground truth with numbers prevents scope creep.

Read references/pre-decomposition.md for the bad/good examples table and the full audit recipe.

Step 3.2: Scale Detail by Complexity

Auto-select plan detail level based on issue count and goal complexity:

LevelCriteriaTemplateDescription
Minimal1-2 issues, fast complexityBullet points per issueTitle, 2-line description, acceptance criteria, files list
Standard3-6 issues, standard complexityCurrent plan formatFull implementation specs, tests, verification
Deep7+ issues, full complexity, or --deepExtended formatSymbol-level specs, data transformation tables, design briefs, cross-wave registry

Read references/detail-templates.md for the template definitions.

Override: --deep forces Deep regardless of issue count. --fast-path forces Minimal.

Step 3.5: Generate Implementation Detail (Mandatory)

After exploring the codebase, generate symbol-level implementation detail for EVERY file in the plan. A worker reading the plan should know exactly what to write without rediscovering function names, parameters, or code locations.

Read references/implementation-detail.md for the full contract: file inventory table, per-section implementation specs (function signatures, reuse points, inline code blocks, struct fields, CLI flag definitions), named test functions with pyramid levels, verification procedures, data transformation mapping tables, and symbol verification.

Step 3.6: Symbol Verification (Mandatory)

See the Symbol Verification section in references/implementation-detail.md. For each symbol cited in the plan, grep the codebase to verify it exists. If >20% of cited symbols are stale, WARN (do not block) and log them under ## Stale Symbol Warnings. Opt-out: --skip-symbol-check.

Step 4: Decompose into Issues

Analyze the goal and break it into discrete, implementable issues. For each issue define:

  • Title: Clear action verb (e.g., "Add authentication middleware")
  • Description: What needs to be done
  • Dependencies: Which issues must complete first (if any)
  • Acceptance criteria: How to verify it's done
  • Test levels: Which pyramid levels (L0–L3) this issue's tests cover

Read references/decomposition.md for: anti-pattern pre-flight, design briefs for rewrites, issue granularity rules, operationalization heuristics, conformance checks, and schema strictness pre-flight.

Step 5: Compute Waves

Group issues by dependencies for parallel execution:

  • Wave 1: Issues with no dependencies (can run in parallel)
  • Wave 2: Issues depending only on Wave 1
  • Wave 3: Issues depending on Wave 2
  • Continue until all issues assigned

Planning Rules Compliance (Mandatory Gate): After computing waves, fill in the Planning Rules Compliance checklist (PR-001 through PR-007) in the plan document — see the table in references/plan-document-template.md. Read references/planning-rules.md for detection questions and evidence. Every rule MUST have an explicit justification or N/A rationale. If any row has an empty Justification column, mark the plan output as INCOMPLETE and do not proceed to Step 5.5.

Step 5.5: File Dependency Matrix (MANDATORY)

Before writing the plan document, produce an explicit file-level dependency matrix mapping each task to every file it reads or writes (columns: Task, File, Access=read/write, Notes). This matrix is the input to the swarm pre-spawn conflict check — without it, handoff to /swarm is blocked. Every write is an ownership claim: two same-wave tasks claiming write on the same file MUST be serialized (blockedBy) or merged. read conflicts with concurrent write but not with other reads. Include tests, docs, schemas, fixtures, generated artifacts, and Codex companion files — not just primary sources. The swarm skill's local-mode Pre-Spawn Conflict Check consumes this matrix.

Read references/wave-matrices.md for the full file-conflict matrix format, an example table, cross-wave shared file registry, generated-artifact companion scope, and dependency-necessity validation rules.

Step 6: Write Plan Document

Write to: .agents/plans/YYYY-MM-DD-<goal-slug>.md

Read references/plan-document-template.md for the full canonical template (Context, Files to Modify, Boundaries, Baseline Audit, Implementation, Tests, Conformance Checks, Verification, Issues, Execution Order, Planning Rules Compliance, Post-Merge Cleanup, Next Steps) and the Baseline Audit Gate (BLOCK if missing, WARN if incomplete, --skip-audit-gate to opt out).

Step 7: Create Tasks for In-Session Tracking

Read references/task-creation.md for the full TaskCreate + beads creation workflow, including: persistent beads issues for ratchet tracking, embedding conformance checks as fenced validation blocks in issue bodies, cross-cutting constraint injection on the epic, wave formation via blocks dependencies, and the Step 7b post-creation validation-block verification gate.

Step 8: Request Human Approval (Gate 2)

Skip this step if --auto flag is set. In auto mode, proceed directly to Step 9.

USE AskUserQuestion tool:

Tool: AskUserQuestion
Parameters:
  questions:
    - question: "Plan complete with N tasks in M waves. Approve to proceed?"
      header: "Gate 2"
      options:
        - label: "Approve"
          description: "Proceed to /pre-mortem or /crank"
        - label: "Revise"
          description: "Modify the plan before proceeding"
        - label: "Back to Research"
          description: "Need more research before planning"
      multiSelect: false

Wait for approval before reporting completion.

Step 9: Record Ratchet Progress

ao ratchet record plan 2>/dev/null || true

Step 10: Report to User

Tell the user:

  1. Plan document location
  2. Number of issues identified
  3. Wave structure for parallel execution
  4. Tasks created (beads issue IDs or file-backed task refs)
  5. Next step: /pre-mortem for failure simulation, then /crank for execution

Key Rules

  • Read research first if it exists
  • Explore codebase to understand current state
  • Identify dependencies between issues
  • Compute waves for parallel execution
  • Always write the plan to .agents/plans/

Examples

/plan "add user authentication" — Reads research, decomposes into 5 issues (middleware, session store, token validation, tests, docs), creates epic with 2 waves, writes plan to .agents/plans/.

/plan --auto "refactor payment module" — Skips approval gates, creates 3-wave/8-issue epic autonomously, ready for /crank.

/plan "remove dead code" — Runs quantitative audit (3,003 LOC), creates issues with exact file/LOC targets, includes deletion verification checks.

/plan "add stale run detection to RPI status" — Symbol-level detail: names exact functions, struct fields, JSON tags, test names. Implementer executes in a single pass.

See references/examples.md for full walkthroughs.

Troubleshooting

ProblemSolution
bd create failsRun bd init --prefix <prefix> first
Plan too large (>20 issues)Narrow goal or split into multiple epics
Wave structure incorrectReview dependencies: does blocked issue modify blocker's files?
Conformance checks missingAdd files_exist, content_check, tests, or command checks

See references/examples.md for more troubleshooting scenarios.

Reference Documents

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

35.86%
按下载量换算1,375

Claude

28.23%
按下载量换算1,082

Cursor

19.15%
按下载量换算734

Gemini CLI

10.36%
按下载量换算397

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/boshu2/agentops --skill plan 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

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。

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