d-oit

Retrieve semantically relevant past learnings and analysis outputs using the csm CLI (HDC encoder with hybrid BM25 retrieval)

Execute tests, analyze results, and diagnose failures across any testing framework. Use when running test suites, debugging failing tests, or configuring CI/CD testing pipelines.

Use this skill for Turso (LibSQL/Limbo) database development, including scaffolding, querying, migrations, and maintenance. Supports vector search, full-text search, CDC, MVCC, encryption, and bidirectional remote sync. Use when working with Turso SDKs for JavaScript, Rust, Python, Go, and React Native. Provides current API guidance to avoid stale "libsql" legacy knowledge.

Atomic git workflow - validates, commits, pushes, creates PR, and verifies CI with zero-warnings policy. Orchestrates complete code submission as state machine with rollback on failure.

Automated code review with PR analysis, change summaries, and quality checks. Use for reviewing pull requests, generating review comments, checking against best practices, and identifying potential issues. Includes style guide compliance, security issue detection, and review automation.

Unified atomic git workflow with GitHub integration - commits all changes, checks GitHub issues, creates PR, validates all Actions pass including pre-existing, uses swarm coordination with web research on failures. Post-merge validation of all files and docs.

Self-learning fix loop - commit, push, monitor CI, auto-fix failures using swarm agents with skills on demand, loop until all checks pass.

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

Orchestrate static analysis using Codacy. Required PR check on this repo. Use for querying PR analysis, triaging issues, fixing (not suppressing) findings, and local analysis. See SKILL.md for fix patterns and the required-check policy.

Build localized, accessible, premium reader/admin UI with 2026 design standards. Features OKLCH colors, View Transitions, scroll-aware components, and mutual exclusivity panels.

Create AGENTS.md files with production-ready best practices. Activate when creating new AGENTS.md or implementing quality gates.

Comprehensive GitHub PR review and automated fix pipeline. Takes a PR number or auto-detects from current branch, runs code review, static analysis, security audit, and quality checks, then produces a structured report and auto-fixes must-fix issues. Activate for "review PR", "fix PR issues", "PR quality check", "review and fix PR #123".

Invoke for complex multi-step tasks requiring intelligent planning and multi-agent coordination. Use when tasks need decomposition, dependency mapping, parallel/sequential/swarm execution strategies, or coordination of multiple specialized agents with quality gates.

Break down complex tasks into atomic, executable goals. Activate for multi-step feature planning, agent coordination, or request decomposition.

Design guidance for AI coding agents. 23 commands, 44 deterministic detector rules, and live browser iteration for AI-generated frontend design. Activate for UI/UX design work, anti-pattern detection, or design quality audits.

Design and implement CI/CD pipelines with GitHub Actions, GitLab CI, and Forgejo Actions. Use for automated testing, deployment strategies, security scanning, and multi-environment workflows.

Generate a DORA-REPORT.md for this repository by computing the five core DORA software delivery performance metrics and three DORA agentic metrics from available data sources. Use this when asked to generate a DORA report or assess delivery performance.

Generate a human-friendly overview infographic by scanning the live project structure, including workspace crates, skills, and scripts. Use this skill whenever the user asks to regenerate, refresh, or update the overview diagram. Triggers on phrases like "update the overview", "regenerate the overview SVG", or "sync the overview".

Run comprehensive linting and static analysis on Rust code including clippy, format check, security audit, supply chain, and unused dependencies. Use before committing, during CI, or when reviewing code quality. Triggers: "lint rust", "clippy", "static analysis", "code quality".

Read all open issues (GitHub/GitLab), categorize by type and effort, plan batch implementation order, and coordinate implementation across multiple issues in a single PR/MR. Auto-detects platform from git remote. Use when asked to "implement all issues", "fix all open issues", "batch implement", or "address all issues". Triggers: "all issues", "implement all", "batch issues", "open issues", "fix all", "address all issues".

Automated secret scanning using secretlint to prevent credential leaks.

Harness engineering guide — maps all sensors and feedforward guides, teaches self-correction protocol when a CI sensor fires. Use when a sensor fires, before making code changes, or when setting up agent context for a new task. Triggers: "harness", "sensor fire", "CI failure", "self-correction".

Compile, test, and verify Rust projects following 2026 best practices. Use when asked to build, compile, or check a Rust project, when CI/CD pipeline needs build steps, or when investigating build failures. Triggers: "build rust", "compile project", "cargo build", "check rust".

Apply this skill when auditing, writing, or reviewing Rust code to avoid generic "AI slop" patterns: boilerplate structs with no purpose, copy-paste error handling, meaningless variable names, over-engineered abstractions, or hollow documentation. Triggers: "this looks AI-generated", "too much boilerplate", "meaningless names", "over-abstracted", "audit my code", "humanize this", "why is this so verbose", "remove unnecessary abstractions", "fix docs", "anti-pattern review".

Coordinate multiple agents for software development across any language. Use for parallel execution of independent tasks, sequential chains with dependencies, swarm analysis from multiple perspectives, or iterative refinement loops. Handles Python, JavaScript, Java, Go, Rust, C#, and other languages.

Multi-step GOAP planning for complex audio pipeline development. Orchestrates analysis, decomposition, strategy selection, and execution with state persistence in plans/.

Generates DORA metrics and agent delivery reports from structured events.

Records agent execution events for lead time, success rate, and human intervention tracking.

Generic TRIZ analysis for identifying technical and physical contradictions in software architecture and pipelines.

Generic TRIZ solver for resolving architectural and technical contradictions using inventive principles.

Three-persona code review and engineering analysis combining deep analysis (RYAN), pragmatic shipping focus (FLASH), and questioning synthesis (SOCRATES). Use for reviewing code, analyzing architecture, triaging bugs, evaluating technical proposals, assessing security risks, and making engineering trade-offs.

Execute iterative refinement workflows with validation loops until quality criteria are met. Use for test-fix cycles, code quality improvement, performance optimization, or any task requiring repeated action-validate-improve cycles.

Playwright E2E testing and responsive screenshot testing across 12 viewports. Use when writing E2E tests, taking screenshots, or verifying layouts. Triggers: "playwright", "e2e", "responsive", "screenshot", "viewport", "mobile", "tablet", "desktop".

Comprehensive testing strategies for web UI — unit, integration, E2E, property-based, accessibility, visual regression, and performance testing with Vitest, Playwright, fast-check, and axe-core. Use when writing tests, debugging failures, improving coverage, or setting up test infrastructure. Triggers: "test", "vitest", "unit", "integration", "e2e", "coverage", "mock", "snapshot", "axe", "playwright", "fast-check", "tdd".

Modern CSS features: anchor positioning, container queries, native nesting, @scope, view transitions, popover API, @starting-style, color-mix. Use when building modern UI with cutting-edge CSS. Triggers: "css", "modern", "anchor", "container", "nesting", "popover", "transition".

Standard agent workflow pattern: explore→plan→code→verify→commit. Use when starting any coding task, feature implementation, or bug fix. Triggers: "workflow", "implement", "feature", "fix", "task".

Fan-out/fan-in patterns for parallel agent work. Writer/reviewer pattern, conflict resolution, quality verification across parallel sessions. Use when working on multi-file changes or large migrations. Triggers: "parallel", "fan-out", "migration", "batch", "multi-file".

Browser debugging workflows for Chrome DevTools, Firefox DevTools, and AI agent debugging. Use when debugging UI issues, inspecting elements, analyzing performance, or troubleshooting rendering problems in the browser. Triggers: "debug", "devtools", "inspect", "console", "network", "performance", "memory", "render", "layout", "css issue", "js error".

WCAG 2.2 AA compliance, axe-core auditing, ARIA patterns, keyboard navigation. Use when auditing, writing, or reviewing web UI code for accessibility. Triggers: "accessibility", "a11y", "aria", "wcag", "axe", "screen reader".

Harness engineering guide — maps all sensors and feedforward guides, teaches self-correction protocol when a CI sensor fires. Use when a sensor fires, before making code changes, or when setting up agent context for a new task. Triggers: "harness", "sensor fire", "CI failure", "self-correction".

Python implementation for resolving URLs and queries into compact, LLM-ready markdown documentation. Use when you need the Python resolver with full cascade support, quality scoring, circuit breakers, and advanced routing features.

Use Codacy static analysis CLIs to query PR analysis, triage issues, suppress false positives, and run local analysis. Use when Codacy blocks a PR, when asked to fix Codacy issues, suppress false positives, query PR quality data, or integrate Codacy into CI/CD workflows. Also use when the user mentions "Codacy", "static analysis check", "code quality gate", or "Codacy is failing".

Implement a single GitHub issue from start to merged PR. Use when the user asks to "implement issue

Implement GitHub issues in parallel using a swarm of specialist agents with wave-based dependency resolution. Use when the user asks to "implement all issues", "fix all GitHub issues", "swarm issues", or wants to batch-implement multiple GitHub issues. Covers dependency analysis, parallel agent launch, atomic commits, GH Actions monitoring, and issue closing.

Visual URL resolution skill using CLIP screenshot embeddings to handle scanned PDFs, image-heavy layouts, and JS-heavy SPAs.

Manage releases, versioning, changelogs, and GitHub releases. Use when creating releases, bumping versions, generating changelogs, creating tags, or managing the release workflow. Combines Git and GitHub best practices for professional releases.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

Apply this skill whenever the user wants to audit, fix, redesign, write, or review UI, UX, copy, or text to avoid the generic "AI slop" aesthetic of 2025–2026. Triggers include: "make this feel less AI", "this looks too generic", "avoid AI clichés", "audit my copy", "anti-pattern review", "humanize this", "this feels soulless", "too corporate", "fix the UX writing", "why does this feel like ChatGPT made it", "anti-design", "brutalist", "raw", "intentional", "authentic", "distinctive", "not like every other AI app", "responsive", "mobile", "tablet", "desktop". Also trigger when producing new UI, copy, or UX flows and the user cares about quality and distinctiveness. Always verify mobile, tablet, and desktop views for proper navigation and layout. This skill is your checklist, diagnostic tool, and creative brief for everything that makes design feel human, considered, and real in 2026.

Enhance session checkpoints with git context and diff summaries. Use after completing significant work to enrich checkpoint.md files with repository state, recent commits, and code change summaries. Triggers include "enhance checkpoint", "update checkpoint with git", "add git context to checkpoint", or when finishing a multi-file change session.

Use for model training, hyperparameter tuning, and Modal GPU training.

Use when invoking training, evaluation, and dataset preparation via CLI. Provides all standard commands for this project.

Multi-perspective code analysis using three AI personas (RYAN, FLASH, SOCRATES) for comprehensive decision-making. Use when complex code decisions need analysis from multiple viewpoints, or when avoiding single-perspective blind spots is critical.

Use for authentication management, token validation, and credential troubleshooting.

Use for secrets management, credentials handling, and security best practices.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Token-aware wrappers around build, test, lint, and format commands to prevent context window overflow. Centralizes command execution through scripts that truncate noisy logs while preserving actionable error information.

Lint and test shell scripts using ShellCheck and BATS. Use when checking bash/sh scripts for errors, writing shell script tests, fixing ShellCheck warnings, setting up CI/CD for shell scripts, or improving bash code quality.

Create comprehensive Claude Code plugins with proper structure, commands, agents, hooks, and marketplace configuration. Use when the user wants to build a new Claude Code plugin or asks how to create/structure a plugin.

Manage GitHub repositories for Claude Code plugins including issues, pull requests, releases, CI/CD workflows, and GitHub Actions. Use when working with GitHub repository management, creating releases, setting up CI/CD, managing issues or pull requests.

Research web content, documentation, and best practices using the gemini-search agent for token-efficient searches with caching. Use when you need to fetch documentation, research best practices, or gather information from the web.

Best practices and patterns for effective web searching

Intelligent command verification for documentation. Discovers all commands in markdown files, validates them using git diff-based cache invalidation, and ensures documentation accuracy with zero token cost after initial setup. Use when asked to verify commands, check documentation, or validate command references.

A simple test skill that analyzes code files and provides a summary report. Use when asked to analyze code structure, count files, or provide project statistics. Demonstrates Claude Code skill functionality.

Executes safe commands and captures real output to extend command-verify functionality. Only runs when explicitly requested. Use when asked to actually run commands, execute commands, test if commands work, or verify commands actually execute.

Strictly enforces Do Gist Hub's manual constructor injection, 600 LOC file limits, Room sync protocols, local test pyramid validation, and local harness commands.

Master Orchestrator multi-agent swarm task execution system powered by Gemini 3.6 Flash. Decomposes tasks into isolated atomic TODOs with code-first diagnostics, strict exit criteria, token efficiency, and turn minimization.

Patterns for invoking the GitHub CLI (gh) from agents. Covers structured output, pagination, repo targeting, search vs list, gh api fallback.

Search for FREE basketball live streams in Germany from approved official sources, validate them with a 7-check pipeline (URL, page content, source allow-list, basketball-specific, date range, live proof, source reference), and add confirmed streams to a Google Calendar. Use this skill when the user requests free basketball live streams in Germany, asks to find official basketball broadcasts, wants to update a basketball calendar with free streams, asks to validate basketball streaming sources, or reports broken YouTube links in past basketball calendar events. Triggers - "find basketball streams", "free BBL stream", "any free EuroLeague game today?", "validate this basketball URL", "add stream to basketball calendar". Not for paid broadcaster streams (Sky/DAZN/Prime), highlight reels, or non-basketball sports.