d-o-hub

Python resolver for URLs and queries into compact, LLM-ready markdown. Use this skill when fetching documentation, resolving web URLs, or building context from web sources — even if they just say "read this doc page" or "get the docs for X". Uses progressive free-first cascade with quality scoring, circuit breakers, layered routing memory, trace-based evaluation, and agent-friendly docs validation. Not for web-search-researcher, agent-browser.

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, Swift, and React Native — even if they just say "set up Turso", "query my Turso database", or "migrate to LibSQL". Provides current API guidance to avoid stale "libsql" legacy knowledge. Not for PostgreSQL, MySQL, or MongoDB (use database-devops) or general schema design without Turso.

Classify user intents and route to appropriate skills, commands, or workflows. Use when determining which skill to invoke, routing requests to specialized agents, or building skill selection logic. Trigger on 'which skill should I use', 'route this to', 'classify this request', 'skill selection', or when multiple skills could handle a task. Not for skill-creator, skill-evaluator.

Run a systematic TRIZ contradiction audit against a codebase, architecture, or workflow to identify hidden trade-offs and innovation opportunities. Use this skill when facing design trade-offs, contradictory requirements, or when needing to identify innovation opportunities through systematic contradiction analysis — even if they just say "run a TRIZ audit" or "find contradictions in this design". Not for triz-solver.

Systematic problem-solving using TRIZ (Theory of Inventive Problem Solving) principles adapted for software engineering. Use when stuck on complex problems, facing technical contradictions, optimizing system design, or seeking innovative solutions beyond trial-and-error — even if they just say "I'm stuck on this" or "help me solve this contradiction". Prevents solving the wrong problem correctly. Not for triz-analysis.

Swarm-powered UI/UX prompt optimizer with auto-research agents, handoff coordination, confidence-scored autoresearch loops, and backpressure quality gates. Use this skill when optimizing UI/UX for web apps, mobile apps, games, dashboards, SaaS, e-commerce, kiosks, or any screen-based product — even if they just say "improve the UI" or "optimize the UX" or "make it sound human" or "this feels robotic". Not for css-render-performance.

Manage versioning in a template repository. Use when working with template repos where `VERSION` is intentionally pinned to 0.0.0, when bumping the template's own release version, when fixing stale version badges, or when answering questions about how versioning flows from `VERSION`/`.template/CHANGELOG-TEMPLATE.md` to `README.md` — even if they just say "bump the template version", "fix the stale badge", or "how does versioning work here". Not for bumping versions in npm packages, Cargo.toml, or non-template projects (use your package manager's versioning).

Monitor a GitHub pull request until it's merged, green, or blocked. Polls CI checks, review comments, and mergeability state continuously. Use this skill when the user asks to monitor a PR, watch CI, handle review comments, sentinel a PR, babysit a PR, or keep an eye on failures and feedback — even if they just say "check on the PR" or "is it green yet".

Checkpoint episodes and create handoff packs for multi-agent session continuity

Configure, test, benchmark, and manage embedding providers for semantic search and vector operations

Create and traverse typed relationships between episodes for dependency tracking and knowledge graphs

Manage episode tags for organization, filtering, and retrieval across the memory system

Generate task playbooks and explain patterns using learned strategies from episodic memory

Record and analyze recommendation sessions and feedback to drive the self-learning loop

Use and troubleshoot the Memory MCP server for episodic memory retrieval and pattern analysis. Use when working with MCP server tools, validating the MCP implementation, or debugging MCP server issues.

Integrate external signal providers (AgentFS, audit trails, toolcall logs) into the reward system. Use when adding external reward signals, processing toolcall audit trails, or connecting third-party agent telemetry to episode scoring.

GOAP-based orchestrator for managing GitHub issues, creating action plans, and executing workspace operations with branch/PR workflow.

Configure and troubleshoot npm OIDC Trusted Publishing for GitHub Actions. Use when npm publish fails with E404, OIDC errors, or provenance issues.

GitHub release management, crates.io trusted publishing, npm provenance, and GitHub Pages documentation. Use when creating releases, publishing packages, or deploying docs.

Git commit conventions, validation gates, and CI/CD workflows. Use when committing changes, verifying gates, or working with GitHub Actions.

Validate merge readiness with atomic commits and GitHub Actions checks using gh CLI; use for pre-merge verification and CI truth validation.

Apply TRIZ inventive principles to solve problems that seem to have no good solution. Use after triz-analysis has identified contradictions.

Implement or refactor Rust in this repository. Use when writing new modules, modifying existing source files, or adding features to the chaotic_semantic_memory crate.

Orchestrate static analysis using Codacy CLIs. Use when Codacy blocks a PR, for fixing quality gate failures, or suppressing false positives in this Rust/Shell codebase.

Run tiered computational quality sensors and self-correct. Use after code changes, before commits/PRs, when asked to "verify", "run gates", "quality check", or when AGENTS.md requires verification. Prefer gate:fast during iteration and gate:full before handoff.

Inferential code review sensor for this repo. Use before asking a human to review, after verify gates are green, or when asked to "review", "review changes", or "pre-review". Checks harness compliance, architecture layers, test adequacy, and agent failure modes — not a substitute for cargo/clippy/CI.

Behaviour harness for the 8 ASCII Canvas drawing tools. Use when changing tools, canvas interaction, border styles, or when AGENTS.md tool checklist applies.

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.

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.

Write clear, comprehensive technical documentation. Use when creating specs, architecture docs, runbooks, or API documentation. Handles technical specifications, system design docs, operational guides, and developer documentation with industry best practices.

Generates GitHub Actions CI workflow configuration

TypeScript and JavaScript expert with deep knowledge of type-level programming, performance optimization, monorepo management, migration strategies, and modern tooling. Use PROACTIVELY for any TypeScript/JavaScript issues including complex type gymnastics, build performance, debugging, and architectural decisions. If a specialized expert is a better fit, I will recommend switching and stop.

Manage agent skills with gh skill. Use this skill to discover, preview, install, update, and publish Agent Skills so an agent can self-manage the skills available in its environment.