Developer-tools Skills for OpenClaw Agents

DebugBundle

@debugbundle

Use DebugBundle for runtime error reporting, crash reporting, incident reporting, incident response, live app monitoring, and production monitoring focused on runtime failures, customer-facing incidents, and endpoint health—not generic infrastructure metrics. Investigate exceptions, alerts, logs, observability signals, health checks, and debug bundles; review product analytics; and guide evidence-based fixes through CLI primarily, with MCP where needed.

StateRoot

@usama04

Install and set up StateRoot, the persistent, federated meta-harness for AI agents. The harness is disposable. The work is not: personality, plans, tools and skills, memories, learnings, and project context carry across Claude Code, Codex, Cursor, Kimi, OpenClaw, and other supported harnesses. Use this bootstrap skill when the user asks to install or set up StateRoot, when `stateroot` is missing from PATH, or when setup has not run. After setup, follow the built-in StateRoot skill for resume, checkpoint, handoff, memory, and daily workflow.

Skill创作发明家

@muippt

Skill创建与质量门控，含56项10层审计模型。触发词：创建skill、skill创建、skill审计、质量审计。不适用：skill发布、生态体检（用mu-skill-auditor）

Feature Retcon / 需求后悔药

@songzhuozhu

当用户需要推翻或修改一个已推进到需求、设计、任务、实现或验证阶段的功能决定时，先只读评估影响，确认后再逐层追平权威产物，并提供可验证、可恢复的执行边界。

Manage Agent Skills

@yunze7373

Toggle skills across major coding agents

Bellwire

@xwchris

Private-first live cards and iPhone notifications

Agentdevx Skill

@mirajmahmudul

Give your AI hands. The identity and security layer every AI agent needs — register any API, agents get Ed25519 identity, encrypted vault, and audit logging.

hekouwang-env-doctor-skill

@huiyonghkw

会勇禾口王 · 开发环境体检器（第三把 doctor）。扫描 Mac/Linux 上被开发工具占掉的磁盘空间，把每个目录判定成「数据 / 缓存 / 残留」三类，重点识别**你已经换掉但从没卸干净的旧工具**（如还留着 nvm 却早就在用 fnm），逐条给出判定依据、官方清理命令与代价。配交互式清理选择器（空格勾选、数据类锁死勾不上、确认后才执行、支持 --dry-run），删什么由你逐项勾。触发：用户说「磁盘满了 / 硬盘不够了 / 清理缓存 / 电脑越用越满 / 开发环境体检 / 查查什么占空间 / env-doctor / 环境体检 / disk doctor / 我的 Mac 空间去哪了 / node_modules 太大 / 缓存清理 / 残留清理 / 换过 nvm 想清干净」。任何「查/清 本机磁盘被开发工具占用」的请求都应触发。

Structured PR Review

@ggettert

Layered PR code review with severity tiers (MUST FIX/SHOULD FIX/SUGGESTION) and addressing-mode. Default: gh CLI only; optional Lobster pipeline.

GitX

@musoyangrigor

Smart Git workflows and secret scanning

drin-build-template

@atom00blue

Build a transactional HTML email that renders correctly across Gmail, Outlook, and Apple Mail, with a plain-text alternative and dark-mode support. Use when writing or editing the HTML/text body of an email, or creating a reusable Drin template with variables. Covers the table-based layout rules, inlined styles, bulletproof buttons, preheader, and Drin's {{handlebars}} variable/section syntax.

元开 yotta-dev-mcp

@yottameta

元开（yotta-dev-mcp）—— 一个 stdio MCP server 提供 18 个确定性开发工具：repo_map（代码库地图）、system_model（系统模型与 .yotta/architecture.json 契约分层）、architecture_review（契约评审）、impact_analysis（变更影响锥）、verify_change（L0-L5 验证账本）、self_test（完整性检查与 seeded defect / mutation 反证）、run_adapter（显式运行 import-linter / dependency-cruiser / Repomix）、find_code（符号定位）、compress_output（长输出压缩）、review_code / review_diff（规则化评审）、scan_secrets（密钥脱敏扫描）、scan_dependencies（依赖与 typosquat 启发式）、check_publish_readiness（发布前守门）、run_checks（白名单检查，默认关闭执行）、scaffold_skill（技能脚手架，默认 dry-run）、workflow_state（.workflow 状态读取与安全追加）。Python 3.8+ 标准库、默认离线、默认只读、输出带文件行号与规则证据；缺工具或配置一律 UNKNOWN，不自动安装、不联网。

structure-check

@return054

Stop trusting "done." Structure Check mechanically verifies that everything the task required actually exists in the code — symbols defined, exports wired, functions actually called, no stub shells hiding behind a TODO. The agent writes a requirement checklist from the user's task, the tool checks every item, and the exit code decides (0 all pass / 1 something missing / 2 bad checklist). The agent may only quote the verdict, never overrule it. Zero dependencies, Node >= 18, comment-aware; full JS/TS support plus Python exists/notStub. Use after completing any coding task (trigger phrases - structure check, feature implemented, 触发词 - 结构检查, 功能是否实现, 实现核对, 检查代码结构, 交付核对).

A OpenClaw SKILL.md - Show Honey's benchmark scoreboard: committed quality and token results per task tier vs Caveman, Ponytail, and no-skill. One-shot.

A OpenClaw SKILL.md - Per-project persistent memory: save and recall durable facts across sessions as small frontmatter files, indexed in MEMORY.md.

A OpenClaw SKILL.md - Quick reference for ponytail's modes, skills, and commands. One-shot display.

A OpenClaw SKILL.md - Rewrite a memory or context file (CLAUDE.md, AGENTS.md, notes) into Honey-terse form to cut per-session input tokens. Backs up first.

A OpenClaw SKILL.md - Stack Honey onto Superpowers-style subagent workflows: dispatched subagents skip the session hook, so inject the levers into each dispatch prompt.

A OpenClaw SKILL.md - Manage persistent coding sessions across Claude Code, Codex, Antigravity (agy), Cursor, and OpenCode engines. Use when orchestrating multi-engine coding agents, starting/sending/stopping sessions, running multi-agent council collaborations, cross-session messaging, ultraplan deep planning, ultrareview parallel code review, autoloop autonomous workspace iteration, ultraapp building deployable web a

A OpenClaw SKILL.md - Review a diff for over-engineering and verbosity. Terse delete-list of what to cut and the lines each saves. One-shot.

A OpenClaw SKILL.md - Harvest every ponytail: shortcut comment into one debt ledger, so deferrals get tracked instead of forgotten. One-shot report.

A OpenClaw SKILL.md - Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or replace with stdlib or native features.

A OpenClaw SKILL.md - Review a diff for over-engineering. Finds what to delete: reinvented stdlib, needless deps, speculative abstractions. One line per finding.

A OpenClaw SKILL.md - Compress-Cache-Retrieve huge repetitive array tool output before it hits context: keep a sample, cache the rest, leave a hash.

A OpenClaw SKILL.md - Report the session's Honey savings: output tokens, CO2, and CO2/$ saved vs a no-Honey baseline, via the committed EcoLogits port.

A OpenClaw SKILL.md - Cost discipline for recurring /loop runs: cache-aware pacing, event-driven-over-polling, no-change short-circuit, compact state handle, stop condition.

A OpenClaw SKILL.md - Delegate search- and review-heavy work to Honey's read-only subagents so large reads return compressed instead of bloating context.

A OpenClaw SKILL.md - Same pixels, fewer tokens. For user-facing markup: keeps the full design, expresses it densely with CSS vars, shorthand, fluid units.

A OpenClaw SKILL.md - Lazy senior dev mode for any coding task (write, refactor, fix, review): YAGNI, stdlib first, no unrequested abstractions. Not for non-coding requests.

A OpenClaw SKILL.md - Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot display.

A OpenClaw SKILL.md - Write less code and say less about it: YAGNI, stdlib-first, terse prose. Cuts agent token cost on every coding and writing task.

A OpenClaw SKILL.md - Read huge dense read-only text as PNG pages via pxpipe export: ~60-75% fewer input tokens. Lossy on exact strings; never for files you will edit.