Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.
Audits and optimizes websites for search engine visibility (SEO) and AI search citation (GEO), covering technical health, E-E-A-T content scoring, domain authority, structured data, rich results, and entity signals. Use when running SEO audits, diagnosing traffic drops or ranking losses, generating Schema.org JSON-LD, checking Core Web Vitals, crawlability, robots.txt, sitemaps, hreflang, backlinks, planning content strategy or site migrations, fixing indexing issues, or optimizing for AI Overviews, ChatGPT, and Perplexity. NOT for paid ads (PPC/SEM), social media strategy, email marketing, or general web development unrelated to search.
Improve unclear UX copy, error messages, microcopy, labels, and instructions to make interfaces easier to understand. Use when the user mentions confusing text, unclear labels, bad error messages, hard-to-follow instructions, or wanting better UX writing.
Autonomous end-to-end execution skill. Use when the user gives a broad directive (improve, audit, fix, ship, polish) that should run from audit through deploy without check-ins. This skill codifies the loop-until-live pattern and the stop conditions.
Ensures new Rails views, layouts, and page-level UI in rails-pokedex are designed in Google Stitch and retrieved via MCP before coding. Use when creating ERB templates, layouts, partials, styling overhauls, or any new user-facing page; when refactoring views; or when the user mentions Stitch, UI de página, telas, or frontend Rails.
Convert behavior misses raised in chat into durable process updates by editing the right rule, skill, or workflow file, with explicit handling for GitHub release quality.
Maintain a development log (DEVLOG.md) at the project root. Use at the START and END of every coding session, after implementing features, fixing bugs, refactoring code, or making any meaningful code changes. Automatically triggered for all development tasks.
Fast semantic code navigation via LSP. Load FIRST before ANY code task - even 'simple' ones. Trigger scenarios: (1) fixing lint/type/pyright/mypy warnings or errors, (2) fixing reportAny/reportUnknownType/Any type errors, (3) adding type annotations, (4) refactoring or modifying code, (5) finding where a function/class/symbol is defined, (6) finding where a symbol is used/referenced/imported, (7) understanding what a function calls or what calls it, (8) exploring unfamiliar code or understanding architecture, (9) renaming symbols across codebase, (10) finding interface/protocol implementations, (11) ANY task where you'd use ripgrep to find code or read-file to view a function. Use `leta show SYMBOL` instead of read-file, `leta refs SYMBOL` instead of ripgrep for usages, `leta grep PATTERN` instead of ripgrep for definitions, `leta files` instead of list-directory.
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.
Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.
Create or refactor Ship Faster-style skills (SKILL.md + references/ + scripts/). Use when adding a new skill, tightening trigger descriptions, splitting long docs into references, defining artifact-first I/O contracts, or packaging/validating a skill.
Provides an incremental adoption strategy to migrate native iOS or Android apps to React Native or Expo using @callstack/react-native-brownfield for initial setup. Use when planning migration steps, packaging XCFramework/AAR artifacts, and integrating them into host apps.
Extract a shareable runnable template under templates/NNN-slug/ from a real project: copy + de-brand + remove secrets + add env examples + docs, with minimal refactors. Use when you have a working project and want to turn it into a template.
Identify, categorize, and prioritize technical debt across six dimensions. Generates remediation plans with effort estimates. Offered by /draft:new-track for refactor tracks.
Self-evolving viral content trend advisor. Monitors 11 platforms, predicts what to post and when, and improves its own accuracy every week automatically.
Plan, execute, and validate data migrations between systems. Covers schema mapping, ETL pipeline design, rollback strategies, and post-migration validation.
Complete methodology for assessing, planning, and executing legacy system modernization — from monolith decomposition to cloud migration. Works for any tech stack, any scale.
Data migration and synchronization to SurrealDB from MongoDB, PostgreSQL, MySQL, Neo4j, Kafka, and JSONL. Full and incremental CDC sync. Part of the surreal-skills collection.
Systematic content quality audit based on 80 CORE-EEAT standards, evaluating content's GEO (Generative Engine Optimization) and SEO (Search Engine Optimization) potential. Features 8-dimension scoring, weighted total calculation, veto item detection, and priority improvement recommendations. Applicable for pre-publication checks, competitive analysis, and AI citation potential assessment.
OpenClaw Skill quality audit based on CORE-EEAT framework adapted for AI agent skills. Evaluates skill's utility (task completion efficiency) and security (safe execution). Features 80 standardized criteria, 8-dimension scoring, veto item detection for security vulnerabilities, and priority improvement recommendations. Applicable for skill selection, security vetting, and skill quality assessment.
Orchestrates software development by coordinating with Cursor Agent, managing git workflows, and ensuring quality delivery. Use when implementing development requirements, feature requests, bug fixes, or refactoring tasks that involve git operations, build verification, and deployment pipelines.
Build a reusable quotation workflow for software projects from markdown requirements, feature outlines, or mind-map screenshots that have been transcribed into text. Use when Codex needs to mine historical quotation DOCX files, normalize pricing inputs, estimate module-level effort, generate a quotation draft in markdown and JSON, or prepare the workflow for later migration into OpenClaw.
Use when optimizing existing Claude skills, checking skill quality, auditing skill compliance, or when skills have obvious issues. Triggers on skill optimization requests, quality checks, or skill improvement tasks.
Immigration process guidance and application organization with strict privacy boundaries. Use when user mentions moving to another country, visa applications, work permits, residency, citizenship, or immigration documents. Helps with pathway analysis, document checklists, deadline tracking, and interview preparation. NEVER provides legal advice or immigration law interpretations.
Migrate a user's OpenClaw customization footprint into Hermes Agent. Imports Hermes-compatible memories, SOUL.md, command allowlists, user skills, and selected workspace assets from ~/.openclaw, then reports exactly what could not be migrated and why.
Add, refine, calibrate, or migrate OpenClaw Control UI themes by patching the installed bundled frontend assets in dist/control-ui/assets. Use when a user wants a new WebUI theme, wants colors matched to a reference theme such as VSCode, wants chat/component styling tuned inside a custom theme, or wants an existing custom theme preserved across an OpenClaw upgrade.
Use when drafting patient discharge summaries, creating personalized discharge instructions, simulating post-discharge outcomes, reducing hospital readmissions, or optimizing care transitions. Generates AI-enhanced discharge documentation with digital twin predictions for improved patient safety.