want2coding

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

从想法到dome一次实现,项目适用化,越用ai对项目越了解,给 AI 编码助手(vibe coding)装的一套“护栏系统”——从想法到落地全程有规划、有验证、有沉淀,专门兜住“AI 开发到一半直接变垃圾”的下限

一句话选型结论

按资料字段整理

want2coding是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_f3f6053c/want2coding
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_f3f6053c仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791724254
正文体量20.4 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
want2coding当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

20.4 KB
模型实际读到的说明书原文,来自技能仓库

Parallel development system

Architecture

OpenSpec (planning)                        Pipeline (execution) + Ponytail (implementation)
─────────────────                    ───────────────────────────────────────────────
explore → propose → update           Node 2 (decompose) → Node 3 (locate) → Node 4 (implement) → Node 5 (verify) → Node 6 (runtime) → Node 8 (commit)
        ↓                                    ↑
   sync → archive                    Ponytail full + RUN_LOG/ERROR_MEMORY throughout

Key design: OpenSpec and Pipeline do not overlap. Once OpenSpec finishes planning, Pipeline consumes OpenSpec artifacts starting from engineering decomposition (Node 2). In C1b the model performs decomposition/location implicitly (no separate TASK_PLAN/LOCATE_MAP for ≤5 files; brownfield >5 files generates a full LOCATE_MAP per the routing table). No duplicated requirement understanding or task decomposition.

1. Responsibilities

System Responsibility Core capabilities
OpenSpec Business planning explore, propose (create change + artifacts), update, sync (incremental spec management), archive
Pipeline Engineering execution Node 3 (precise location), Node 4 (compile check + self-heal), Nodes 5/6 (quality gates), Node 8 (semantic commit)
Ponytail Code minimization Ladder framework (L2-L7: reuse→stdlib→native→installed-dependency→one-line→minimal; ladder levels are unrelated to the C-series complexity levels and to the L0/L1/L2 self-check layers), over-engineering review, tech-debt tracking

2. Entry: route by complexity

When invoking this skill, the first step is to judge the complexity and decide which nodes to run. Principle: don't do work that isn't worth doing.

C0: single-file / single-function changes (e.g. typo, small bugfix, adding a field)

Applicability: no risk flags (see "risk escalation" below), and only 1 file is modified.

Skip all planning. Write code directly, run Layer 0 + Layer 1 self-checks, commit.

Output: 1 modified file + 1 ERROR_MEMORY entry (if an error occurred)
Not run: grill-me / propose / decomposition / location / verification / sedimentation

C1a: small multi-file changes (2-3 files, single module, no cross-module coordination, no risk flags; e.g. a field addition with linked modifications)

Lightweight path. No full propose: planning folds into one ai_pipeline/CHANGE_NOTES.md (requirements + interface contract + tasks, marked [LIGHT_PLAN]); the rest of the flow is the same as C0.

Artifact folding: C1a maintains only 1 append-only CHANGE_NOTES.md throughout (planning → implementation summary → self-check results → commit summary, crash-safe); no separate PIPELINE_STATUS / RUN_LOG / COMMIT_MESSAGE / VERIFY reports; commit messages are inline via git commit -m; ERROR_MEMORY is appended only on errors/self-heals.

grill-me (optional; triggered when >2 decisions) → lightweight plan CHANGE_NOTES.md ([LIGHT_PLAN])
  → write code directly → Layer 0/Layer 1 self-checks (done by the model itself) → tests → commit
  → contract sync (Phase D-lite, see below) → done
Not run: propose / Node 2 decomposition / Node 3 location / Node 2/3/4 reports / full Phase D (sync/archive)

Contract sync (Phase D-lite): merge the "interface contract" section of CHANGE_NOTES into openspec/specs/<capability>/spec.md (infer the capability from the implemented module). Three steps:
1. Read the main spec; if it does not exist, create it with a ## Purpose section and an empty ## Requirements section (marked [NEW_SPEC]).
2. Rewrite each CHANGE_NOTES contract entry as ### Requirement: <name> + #### Scenario: <case> (WHEN/THEN) and merge it under ## Requirements. Main specs must NEVER contain delta operation headers (## ADDED/MODIFIED/REMOVED/RENAMED Requirements) — all requirements live under the single ## Requirements section, matching the Main Spec Format in opsx:sync.
3. Git commit.

If there is no openspec repo → mark [NO_SPEC_SYNC] and record it as a to-do in CHANGE_NOTES.

C1b: multi-file functional changes (cross-module, or 4-10 files, or with risk/environment flags; e.g. adding OAuth, adding rate-limit middleware)

Run proposal + implementation + verification. Decomposition and location are covered by the model's built-in capabilities; Nodes 2/3 are not run explicitly.

grill-me (optional; triggered when >2 decisions) → propose → write code directly
  → Layer 0/Layer 1 self-checks (done by the model itself)
  → immediate mypy/tsc check per file (≤3 self-heal rounds, per IMPLEMENT.md Step 4)
  → full type check on all modified files (Critical gate) → tests → commit
Not run as separate nodes: Node 2 decomposition (the model decomposes implicitly) / Node 3 location (the model locates implicitly) — the routing table's report column still applies when >5 files or brownfield.

Risk-flag tasks additionally run ADAPTIVE's non-degradable baseline. C1b runs the full pipeline chain including Node 5/Node 6 with their own reports — the "no separate report" shortcut applies to C1a only. The Critical type-check gate itself is mandatory and may not be skipped.

C2: large platform / subsystem (e.g. trading engine, e-commerce platform, EHR)

Full chain. grill-me is triggered when there are >3 architectural decisions; all nodes execute.

But reports are folded: TASK_PLAN + LOCATE_MAP + IMPLEMENTATION_REPORT from Nodes 2/3/4 merge into one ai_pipeline/IMPLEMENTATION_LOG.md — no three separate documents.

grill-me (if >3 decisions) → explore (if clarification is needed) → propose → Nodes 2/3/4 (folded into LOG) → 5 → 6 → 8 → Phase D
Full sedimentation: ERROR_MEMORY + TECH_NOTES

Routing rules

Metric C0 single file C1a small multi-file C1b multi-file/cross-module C2 platform-level
Files modified =1 2-3 4-10 >10
New capabilities 0 1 1-2 ≥3
grill-me skipped optional optional (triggered when >2 decisions) triggered when >3 decisions
Node 2/3/4 reports skipped skipped ≤5 files skipped, >5 generated generated (folded into LOG)
Self-check depth Layer 0 + Layer 1 test run + lint test run + lint + type check (Critical) full
Sedimentation ERROR_MEMORY ERROR_MEMORY ERROR_MEMORY ERROR_MEMORY+TECH_NOTES
Node 2/3 mode (greenfield) skipped skipped summary (no LOCATE_MAP) summary (folded 1-liner)
Node 2/3 mode (brownfield) skipped skipped full LOCATE_MAP full LOCATE_MAP

> New capability = one user-visible behavior that maps to no existing function/module (a new module, a new API endpoint, a new table = 1; a new function inside an existing module = 0). The self-check depth row names capabilities (test run / lint / type check), not specific tools — tool names map per template via pipeline/SKILL.md §2 and ADAPTIVE degradation (e.g. "test run" = pytest when configured, stdlib unittest otherwise).

> Codebase state detection: Pipeline Entry checks src/ (or the project's source root) for existing source files (.py/.ts/.tsx/.js/.jsx/.go/.rs/.java/.kt/.cs/.rb/.php). If none exist → [GREENFIELD]: Node 2/3 produce summary output only (no detailed LOCATE_MAP — every file is NEW). If files exist → [BROWNFIELD]: Node 2/3 run full decomposition and location (existing code must be located, insertion points verified). The routing complexity level (C0-C2) is unchanged — greenfield/brownfield only affects Node 2/3 report depth within the chosen level.

Risk escalation

When a change involves any of the following risk/environment flags, regardless of file count, the minimum level is C1b (run full planning+implementation+verification; the C0/C1a lightweight paths are not allowed):

Flag Trigger condition Minimum level
FINANCE Amounts/billing/price calculations C1b
AUTH Authentication/authorization/encryption C1b
MIGRATION Data migration (DDL/data backfill) C1b
STATE_MACHINE State machine transitions C1b
EXTERNAL_API External API integration C1b
ENV_OPS Service startup/keep-alive/process management (background execution, daemon, restart policies) C1b
PERSIST Data persistence (new tables/models/persistence paths) C1b

Risk flags are declared at Phase A: /opsx:propose writes one Risk flags: <FINANCE|AUTH|MIGRATION|STATE_MACHINE|EXTERNAL_API|ENV_OPS|PERSIST|none> line into proposal.md; the [NO_OPENSPEC] PROJECT_SPEC.md and the C1a CHANGE_NOTES.md use the templates at .claude/skills/want2coding/templates/ (PROJECT_SPEC.template.md / CHANGE_NOTES.template.md), which carry the same header line. Pipeline Entry extracts [RISK_FLAGS_ACTIVE] from this line.

Executed together with ADAPTIVE's "non-degradable baseline": even when the environment lacks tools, risk/environment tasks only allow alternative-verification degradation — the routing level may never fall back to C0/C1a.

3. Flow

Phase 0: Pre-flight initialization

Before any planning or execution, run this three-step bootstrap on every want2coding invocation:

  1. Check openspec readiness:
    - openspec/config.yaml exists → ✓ ready (openspec is initialized)
    - Missing → run openspec init --tools claude (non-interactive, creates openspec/config.yaml + .claude/ integration)
    - openspec CLI unavailable → mark [NO_OPENSPEC: CLI_MISSING], skip to step 2

  2. Ensure openspec/changes/ exists:
    - Directory exists (even if empty) → ✓
    - Missing after init → mkdir -p openspec/changes/

  3. Ensure ai_pipeline/ exists:
    - Directory exists → ✓
    - Missing → mkdir -p ai_pipeline/

This guarantees: even when openspec is completely absent, the ai_pipeline/ directory exists for the [NO_OPENSPEC] fallback to write PROJECT_SPEC.md. When openspec is available, openspec init runs automatically so the standard flow always works.

Phase A: OpenSpec planning

Entry detection: after pre-flight initialization, if openspec is available (openspec/config.yaml exists and CLI is functional) → standard OpenSpec planning (flow below); otherwise → enter [NO_OPENSPEC] lightweight planning mode (see below), marked [NO_OPENSPEC] throughout.

Requirements take shape → grill-me (independent, not embedded in explore)
      ↓
/opsx:propose <change-name>     # Create the change; tasks.md includes fileHint+symbolHint+dependsOn
      ↓                           # spec interface contracts forbid any/object/unknown types
/opsx:update <change-name>      # Revise as needed

Lightweight planning mode [NO_OPENSPEC] (replaces Phases A/B when there is no openspec repo):
- Produce ai_pipeline/PROJECT_SPEC.md: a single file merging requirements / interface contract / edge conditions / tasks; task entries use the same format as OpenSpec tasks.md (fileHint + symbolHint + dependsOn), and contracts forbid any/object/unknown types.
- Node 2's input, Node 4's L2 contract baseline, and Node 6's verification baseline all use PROJECT_SPEC.md (replacing openspec artifacts).
- Handoff instruction: "Implement via the three-layer pipeline: ai_pipeline/PROJECT_SPEC.md".
- Phase D's sync/archive are skipped, marked [NO_OPENSPEC: SKIP_SYNC]; RUN_LOG / ERROR_MEMORY / TECH_NOTES are kept.

Phase B: handoff

The user sends "Implement via the three-layer pipeline: openspec/changes/<name>/"

or: /opsx:apply detects that Pipeline is available → automatically suggests delegation → user confirms → outputs the bridge instruction

Phase C: Pipeline execution

Entry: create ai_pipeline/ + detect planning artifacts (if openspec/ exists → read OpenSpec artifacts; otherwise read PROJECT_SPEC.md, marked [NO_OPENSPEC]) + read ERROR_MEMORY (last errors)
  → adapt: has mypy → run type checks / has pytest → run coverage / has CI → align thresholds

Node 2: engineering decomposition → TASK_PLAN.md (planning artifacts' tasks+specs or PROJECT_SPEC → atomic tasks + topological order)
       → append to RUN_LOG when done
Node 3: precise location → LOCATE_MAP.md (consumes TASK_PLAN)
       → append to RUN_LOG when done
Node 4: code implementation → IMPLEMENTATION_REPORT.md (Ponytail full + Layer 0/1/2 three-layer self-checks)
       per task → append to RUN_LOG + ERROR_MEMORY
Node 5: static verification → VERIFY_REPORT.md → append to RUN_LOG
Node 6: runtime verification → VERIFY_RUNTIME_REPORT.md → append to RUN_LOG
Node 8: semantic commit → Git Commit → generate TECH_NOTES from RUN_LOG → update PIPELINE_STATUS

Phase C→D automatic advancement

After Pipeline Node 8's commit completes, the end of PIPELINE_SUMMARY must print:

> "Phase C complete. Code committed. Continue to Phase D?
> 'sync' → merge delta specs into the main specs + git commit
> 'archive' → archive the change
> 'all' → one-shot sync+archive
> 'later' → manually later"

The Pipeline must not end silently — it must actively advance to Phase D.

Phase D: OpenSpec wrap-up

/opsx:sync <change-name>       # delta→main specs, show the sync summary
      ↓                           # git add openspec/specs/ && git commit
/opsx:archive <change-name>    # archive to archive/

C1a variant (Phase D-lite): C1a creates no change and does no sync/archive; it only appends the "interface contract" section of CHANGE_NOTES to the main spec, then git commits (see C1a contract sync).

[NO_OPENSPEC] mode skips Phase D (no main specs to sync/archive) and wraps up directly after Node 8.

Post-delivery fixes (交付后修复)

Defects found after PIPELINE_SUMMARY (user acceptance, real usage, demo rounds) are still want2coding work — do not improvise an ad-hoc round:

  1. Re-run the Entry routing with the fix's own metrics (files touched, risk flags). Most post-delivery fixes route C0/C1a; a FINANCE-touching fix still enforces C1b minimum.
  2. Reuse the same ai_pipeline/ directory — do NOT create a fresh one. RUN_LOG (prepend) and ERROR_MEMORY (append) continue per Append Protocol §0.
  3. RUN_LOG entry format: ## <ISO timestamp> — Post-delivery / <one-line change description> — commit <sha>; prepend per Append Protocol §0 (newest first, below the run header — never above the H1). (This heading pattern is part of the template list; self-invented names like "hardening round" are not.)
  4. Scope red line: the fix touches only the reported defect. Anything discovered beyond it gets its own routed entry, not silent scope creep.
  5. Verification depth follows the routed level (C0: L0/L1 only; C1a: tests + contract notes) — post-delivery does not mean verification-light when risk flags are active.

Breakpoint recovery

On the next want2coding invocation, recovery uses SESSION_STATE as the primary mechanism (per README / pipeline/SKILL.md), with RUN_LOG inference as fallback:
1. Read ai_pipeline/SESSION_STATE.json (schema: pipeline/_session_state_schema.json). Non-empty → print the exact breakpoint (node / task / file / self-heal round) and prompt: resume or restart.
Consistency check (mandatory): SESSION_STATE is a mutable pointer and can lag behind the append-only RUN_LOG (e.g. when tasks completed without state updates). Compare current_task against the newest task-completion entry in ai_pipeline/RUN_LOG.md — trust whichever is newer. If RUN_LOG shows the task in SESSION_STATE already completed, advance the breakpoint to RUN_LOG's state and say so: [SESSION_STATE stale → reconciled with RUN_LOG].
2. Empty or missing → fall back to ai_pipeline/RUN_LOG.md inference:
- Exists and Phase C complete → advance directly to Phase D
- Exists and Phase C partially complete → continue from the breakpoint node
3. Neither exists → start from Phase A.

4. Conflict rulings (4 rules)

R1: Requirement existence

Trigger: Ponytail judges a feature redundant, but OpenSpec has confirmed it
Ruling: OpenSpec wins. Ponytail full accepts the requirement and implements it with the least code

R2: Code reuse

Trigger: Ponytail finds an existing implementation that Pipeline did not
Ruling: Ponytail wins. Reuse it; mark the corresponding TASK as REUSED — keep it in TASK_PLAN for traceability, do not implement or delete it

R6: Design defect

Trigger: implementation reveals the spec is incomplete
Ruling: OpenSpec wins. Roll back + output a defect report + re-run after the user updates
Grading: Critical (structural → must fall back) / Standard (omission → fall back after completion) / Advisory (optimizable → record as known issue)

R8: tasks.md unchecked

Trigger: tasks.md checkboxes are unchecked at archive time
Preventive measures (two checkpoints):
- Node 4: after each task completes, check the corresponding item in tasks.md per openspec_ref; REUSED tasks are checked too, annotated <!-- reused: source --> (see IMPLEMENT Step 5)
- Node 8: run a tasks.md completion check before committing (see COMMIT Step 6), comparing against IMPLEMENTATION_REPORT to check off completed tasks
Ruling: facts first.
- If items remain unchecked after both checkpoints but the work is factually complete → check them automatically before archive, no warning
- Tasks genuinely incomplete (skipped/not implemented) → archive is not blocked; a warning is allowed through (REUSED counts as complete, not incomplete)
- When the CLI pops "incomplete task(s). Continue?" and the work is factually complete, answer y to continue

5. Continuous sedimentation

Write immediately after each job, never batch-generated at the end.

Append-only files (use Append Protocol — see pipeline/SKILL.md §0): read existing → combine old + new → write. Never Write directly without reading first; the Write tool overwrites by default, and overwriting loses all prior entries.

  • RUN_LOG.md (ai_pipeline/): prepend entry after each task/node (newest first; timestamp + node/task + content). Crash-safe.
  • ERROR_MEMORY.md (ai_pipeline/): append entry after each self-heal/Critical/⚠️ (oldest first). Accumulates across runs.

Per-run files (the new run overwrites them, but ONLY after Entry runs the Run Archive Protocol — pipeline/SKILL.md §0b — which copies the previous run's versions into ai_pipeline/archive/<run-id>/; overwriting is therefore lossless and history stays complete): TASK_PLAN.md, LOCATE_MAP.md, IMPLEMENTATION_LOG.md/IMPLEMENTATION_REPORT.md, VERIFY_REPORT.md, VERIFY_RUNTIME_REPORT.md, COMMIT_MESSAGE.md, PIPELINE_STATUS.md, TECH_NOTES.md, PIPELINE_SUMMARY.md, TEST_MATRIX.md, PONYTAIL_DEBT.md, PROJECT_SPEC.md.

  • TECH_NOTES.md (ai_pipeline/): generated from RUN_LOG when the pipeline ends (§1 ADR + §2 known issues)

6. Deliverables

Phase Files
A openspec/changes/<name>/ (4 artifacts); [NO_OPENSPEC] mode: ai_pipeline/PROJECT_SPEC.md
C1a ai_pipeline/CHANGE_NOTES.md (1 append-only file: planning/implementation/self-check/commit/contract sync); append ERROR_MEMORY.md on errors
C ai_pipeline/RUN_LOG.md, ERROR_MEMORY.md
C ai_pipeline/LOCATE_MAP.md, TASK_PLAN.md
C ai_pipeline/archive/<run-id>/ (previous run's per-run files, written by Entry per §0b) + archive/INDEX.md
C ai_pipeline/IMPLEMENTATION_REPORT.md
C ai_pipeline/VERIFY_REPORT.md, VERIFY_RUNTIME_REPORT.md
C ai_pipeline/PIPELINE_STATUS.md, PIPELINE_SUMMARY.md, SESSION_STATE.json, PHASE_D_PENDING.md (deleted when Phase D completes), PONYTAIL_DEBT.md (only when Ponytail quick pass found debt > 0; not created otherwise), TEST_MATRIX.md
C ai_pipeline/TECH_NOTES.md
C ai_pipeline/COMMIT_MESSAGE.md + Git Commit
C (exception paths) ai_pipeline/CHECK_ERROR_REPORT.md (Node 4 halt), CRITICAL_FAILURE_REPORT.md (Node 5 Critical failure)
D Updated openspec/specs/**/*.md + git commit

7. Usage

/opsx:explore <topic>
/opsx:propose <name>

"Implement via the three-layer pipeline: openspec/changes/<name>/"

/opsx:sync <name> && git commit specs
/opsx:archive <name>

常见问题

5 问
答案由本站依据条目字段整理
want2coding怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_f3f6053c/want2coding。安装方式为未标注。装完刷新技能列表或重开客户端。

want2coding支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

want2coding权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

want2coding收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

want2coding用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。