Claude Skills by thedixitjain

Coordinate multi-vendor AI agents as a self-improving team — a learning router assigns work by track record and citizens can amend the protocol's own rules.

>- Interactive PPAP completeness checker — walks through all 18 PPAP elements for a given submission level, identifies missing or incomplete items, and generates a gap report before PSW signature. Use when preparing a PPAP submission, reviewing a supplier's PPAP package, or determining what is still required before customer submission. Covers AIAG PPAP 4th Edition.

Review a PR across multiple dimensions — description, code changes, code scan, unit tests — using parallel subagents. Supports GitHub, GitLab, and enterprise platforms.

Analyze code changes and detect intent drift using the pr-to-spec CLI — converts a branch, staged edits, or recent commits into a structured, agent-consumable spec. Use when declaring intent before a change, checking a finished change for drift against that intent, or generating a spec for agent review. Trigger with \"/pr-to-spec\", \"pr-to-spec scan\", \"pr-to-spec check\", or \"pr-to-spec intent\".

Check AxonFlow governance policy before executing commands, writing files, or modifying any state. Also scan file content for PII before writing. Use before any tool call that creates, modifies, or deletes data.

Nuclear-grade 16-agent pre-publish release gate. Runs /get-unpublished-changes to detect all changes since last npm release, spawns up to 10 ultrabrain agents for deep per-change analysis, invokes /review-work (5 agents) for holistic review, and 1 oracle for overall release synthesis. Runs ONLY when the user explicitly asks for a pre-publish review — a plain publish/release request MUST NOT trigger this; /publish ships directly. Triggers: 'pre-publish review', 'review before publish', 'releas...

Optionally challenge a frozen plan with one

> End-to-end orchestration to prepare or update a Python recipe under core/python/ or contrib/ so it passes every check in .github/workflows/python-validate-recipe.yml. Runs seven phases in order on an already-in-place recipe: manifest.yaml generation, environment-variable extraction, pyproject.toml alignment, ruff format+check, per-recipe `uv lock`, runnability-test generation, and a final `py_compile` verification of the generated test file. Assumes the user has already done the manual prep...

Implement a reusable, accessible, typed component from a design spec. Use when asked to \"create a component\", \"build a widget\", \"implement this design\", or \"reusable UI element\".

Build an internal dashboard with data tables, filters, detail views, and CRUD. Use when asked to build an \"admin panel\", \"internal dashboard\", \"back office\", or \"data dashboard UI\".

Frontend reconnaissance — map the component tree, routing, state management, build config, and assess quality. Use when asked to \"understand this frontend\", \"frontend assessment\", or \"what's the UI built with\".

Report the user's current AxonFlow tier (Free or Pro), Pro license expiry date, endpoint, and whether a license token is configured. Use when the user asks \"am I on Pro?\", \"what tier am I on?\", \"when does my Pro license expire?\", \"is my license active?\", or wants to know which AxonFlow they're talking to.

中文产品决策 Agent。用于需求优先级、Roadmap、增长、留存、运营、数据异常、A/B Test、项目延期和跨团队协作；先判断事实、阶段、核心阻塞与主导机制，再给出下一步、停止清单和切换条件。默认中文，不引用原文或讲历史。

Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops

This skill should be used for project-level decisions about LLM-powered systems: whether an LLM is the right primitive for the task at hand, the shape of a multi-stage batch or agent pipeline, token and cost estimation, choosing between single-agent and multi-agent at the project level, structured output design for downstream parsing, and structuring agent-assisted iteration. Use this when the unit of work is a whole project or a multi-stage pipeline. Route individual tool design to tool-desi...

This skill covers the principles for identifying tasks suited to LLM processing, designing effective project architectures, and iterating rapidly using agent-assisted development.

Используй только внутри активного Codex Project Autopilot-проекта, когда пользователь уже запустил автопилот или в workspace есть .codex-agent в фазе discovery/planning.

>- Scans the developer's machine for dead side projects, autopsies each one from its git history (died at the payments wall, killed by a newer project, finished but never shipped), surfaces their personal death patterns, and picks the corpse most worth resurrecting — then helps ship it. Use when the user mentions abandoned, unfinished, or old side projects, asks \"what should I finish\", wants to revive or resurrect a project, says \"run the graveyard\", wonders why they never finish anything...

Scaffolds new projects with git, CI/CD workflows, pre-commit hooks, and build config. Use when starting a new Python, Rust, or TypeScript project from scratch.

Use when recording, registering, or updating a project feature, flow, page, component, module, utility, pattern, contract, domain, or business concept into Wingman's project map for future discovery and reuse/reference decisions. Trigger for 登记, 记录, 加入项目地图, 以后 AI 能找到, catalog, register, record, add to project map, feature inventory, capability map, or reusable capability. Do not use for explaining code, editing code, summarizing a file, or writing memory/history unless the user asks to add pr...

Use when locating existing project features, flows, pages, modules, components, utilities, patterns, contracts, business concepts, or similar functionality before answering where something is or before building related functionality. Trigger for 项目里有没有做过, 在哪里, 类似功能, 已有功能, 复用, 不要重复造轮子, 项目里叫什么, 哪些文件, 找一下, existing feature, similar functionality, where is, reuse, avoid rebuilding, project concept, feature inventory, capability map, or implementation already exists. Do not use for pure styling, i...

Turn a product goal or feature request into a clear Agiflow project plan with small, testable tasks in Planning status. Use when starting a project, decomposing a feature, clarifying requirements, or converting an idea into an actionable backlog.

Graduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement. Use when the user runs /si:promote or asks to make a learned behavior permanent.

../../../engineering-team/self-improving-agent/skills/promote/SKILL.md

| Design QA audit — red flags, severity classification, visual quality scorecard. Use when asked to \"QA the design\", \"check visual quality\", \"design review before launch\", \"visual bugs\", \"design audit\", or \"does this look right\".

Build, flash, and provision an ESP32-S3/C6 CSI node for RuView — firmware variant choice, ESP-IDF Windows-subprocess flow, NVS/WiFi/channel/MAC-filter overrides.

> PUA 的技术负责人模式。适合拆任务、控节奏、管 subagent、做高压 orchestration。

> Activate when the user wants to build a Claude plugin, create a Claude skill, make a Claude agent, structure a Claude Code plugin, says \"build a plugin\", \"create a skill\", \"new claude skill\", \"new agent\", \"help me make a plugin\", \"plugin builder\", \"claude plugin helper\", \"how do I build a Claude skill\", \"I want to create a Claude plugin\", \"plugin building\", or asks how to structure a Claude Code plugin or publish to the Claude marketplace. Works on both claude.ai (genera...

Publish oh-my-opencode to npm by triggering the GitHub Actions publish workflow and verifying its artifacts. Ship-only: never runs pre-publish-review or re-reviews merged code unless the user explicitly asks. Argument: <patch|minor|major>. Triggers: publish, release, deploy, npm publish.

Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support.

> Use this skill when referencing canonical quality check commands for typecheck, test, and lint. Defines 4 variants (Baseline, Incremental, Full Gate, Per-File) used by session-start, wave-executor, session-end, and session-reviewer. Reference skill — not invoked directly.

Use when the user wants to query, analyze, or explore data through the Honeydew semantic layer. Covers structured queries and multi-step deep analysis.

Look up brain pages in the OpenClaw reference fixture.

Proves the system works by writing and executing comprehensive test suites.

Turns an AI agent with persistent memory into a quit-smoking sponsor. Use when a person asks for help quitting smoking (cigarettes or other smoked tobacco), announces they are quitting, reports a craving, a slip, or a relapse, goes silent mid-quit, or asks the agent to witness and track a quit. Provides evidence-based protocols (immediate execution of the quit decision, urge surfing, slip attribution coaching, withdrawal timelines, nutrition and alcohol rules, NRT guidance, a two-year afterca...

Helps an AI agent provide non-judgmental, evidence-informed quit-smoking support with user-consented tracking, craving check-ins, and escalation to human or clinical help. Not medical care.

Delegates tasks to Qwen CLI via delegation-core for Alibaba's models. Use when delegation-core selects Qwen or large-context batch processing is needed.

>- Interactive root cause analysis facilitator — runs a structured 5-Why why chain session, challenges each answer with evidence requirements, detects symptomatic and circular reasoning, and produces a validated Why chain with reversal check. Use for 8D D4, CAPA investigations, FMEA cause analysis, or any quality investigation requiring confirmed root cause identification.

Use RCH once to offload a build or collect

> Preview a distilled wiki page from inside Claude Code. Prints title, summary, source count, and the local md path. Full body lives on disk — open with the user's editor. Invoked as `/read <title_or_id>`.

Compare a claimed state with observable

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.

Generate a personal Claude Code usage & impact report (\"receipts\") from this machine's local session transcripts — for justifying Claude Code usage/spend to a manager, self-review, or \"what have I been using this for\" check-ins. Mines ~/.claude/projects locally (no extra API calls beyond one final write-up), cross-references local git history, and writes a markdown report plus a self-contained HTML receipt to your home directory. Use when the user asks for \"receipts\", an \"impact report...

> Use this skill when the user wants to reconcile learnings into rules, run /reconcile, propose rules from learnings, turn learnings into .claude/rules/ entries, or review what rules would be generated from current session learnings. On-demand version of session-end Phase 3.6.8.

Optimizes AI agent performance by pruning redundant context, managing token usage, and enforcing ultra-concise, direct-to-value responses.

Use when mapping the end-to-end lifecycle of a Review of Economic Dynamics (RED) manuscript — from confirming dynamic/quantitative scope, through the current Elsevier Guide's USD 195 fee and ScienceDirect/Editorial Manager submission, the single-anonymized two-reviewer process, the code-first data/code archive plus Option C data statement, to the revise-and-resubmit. Orchestration; it routes to the other red- skills rather than drafting content.