Claude Skills by duthaho

OpenAPI/Swagger specification patterns for REST API documentation.

MongoDB patterns including document design, queries, and aggregation.

PostgreSQL database patterns including queries, indexing, and optimization.

Docker containerization including Dockerfiles, compose, and best practices.

GitHub Actions CI/CD workflows including testing, building, and deployment.

Django web framework with ORM, views, and REST framework patterns.

FastAPI web framework with async patterns, Pydantic validation, and OpenAPI documentation.

Next.js framework with App Router, Server Components, and full-stack development patterns.

React component patterns, hooks, and state management best practices.

shadcn/ui component library patterns with Radix primitives and Tailwind styling.

Tailwind CSS utility-first styling with responsive design and component patterns.

Modern JavaScript (ES6+) patterns and best practices for Node.js and browser environments.

Python development expertise including type hints, async patterns, virtual environments, and Pythonic idioms.

TypeScript development with strict typing, advanced type utilities, and modern patterns.

Interactive design refinement methodology for turning rough ideas into fully-formed designs through collaborative dialogue. Use this skill during creative development phases before implementation begins.

Multi-layer validation strategy that makes bugs structurally impossible rather than merely fixed. After finding and fixing a bug's root cause, implement validation at every layer data passes through.

Pattern for handling multiple independent failures by dispatching concurrent agents. Use when 3+ independent problems exist across different domains that can be solved in parallel.

Subagent-driven development pattern for executing detailed implementation plans with quality gates. Uses fresh agents per task and mandatory code review between tasks.

Structured 5-step workflow for completing development branches. Ensures tests pass, presents completion options, and handles cleanup.

Workflow for processing code review feedback effectively. Prioritize issues, apply fixes, and iterate until approval.

Workflow for initiating code reviews with clear scope, context, and expectations. Ensures reviewers have everything needed for effective feedback.

Debugging technique for bugs that manifest deep in execution stacks. Systematically trace backward through the call chain to identify the original trigger, rather than fixing symptoms at the point of failure.

Step-by-step reasoning methodology with explicit evidence collection and confidence tracking. Use for complex problems requiring careful analysis and documented decision-making.

Four-phase debugging methodology centered on finding root causes before implementing fixes. The foundational principle: **"NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST"**

Strict test-driven development methodology requiring tests before implementation. The fundamental practice: "If you didn't watch the test fail, you don't know if it tests the right thing."

Common testing mistakes that create false confidence in test suites. Learn to recognize and avoid these patterns that make tests pass while failing to verify actual behavior.

Mandatory verification process before claiming any task is complete. This skill enforces evidence-based completion rather than assumption-based claims.

Generate comprehensive implementation plans with bite-sized tasks for engineers with minimal codebase familiarity. This skill bridges design completion and engineering execution with detailed, actionable steps.

Patterns and techniques for reducing token usage while maintaining response quality. Achieve 30-70% cost savings through strategic output compression.

OWASP Top 10 security practices and secure coding patterns.

Python testing with pytest including fixtures, parametrization, and mocking.

Modern JavaScript/TypeScript testing with Vitest including mocking and coverage.

The whole coding loop on one deliberate yes: map, spec, critic-hardened plan, GitHub issues, parallel worktree implementers, fresh-context review loops, one PR with the evidence. Acts only on its itemized charter; parks what it can't settle honestly. Commands: /autopilot <task> [--merge], resume, status. It signs a charter and pushes branches, so it never auto-triggers — explicit invocation only.

Human-facing documentation, architecture docs, and mermaid diagrams for a codebase, a module, or a feature — "draw me the architecture, with receipts." Fans out read-only sub-agents to build a grounded component graph first: every node is a real path, every edge backed by a grep-verified import or call — unverifiable edges are dropped, not drawn. Diagrams render from that verified table per a fixed checklist (never freehand mermaid), capped at 5–8 top-level components with drill-down pages; e...

Lightweight bug-fixing loop — reproduce → root-cause → fix test-first → verify — deliberately separate from the heavyweight feature workflow so small fixes don't drag a spec-and-plan process behind them. Demands a deterministic reproduction before any code changes, a stated root-cause hypothesis confirmed with evidence (never a shotgun fix), a failing test that captures the bug, and the original repro re-run as proof. Keeps a one-line-per-bug log in out/dev/bugfix-log.md and checks it first, ...

Morning work briefing — "what does my day look like, in one scan?" Gathers today's calendar and emails needing attention (via connected Google MCP tools when available), recent git activity and unfinished work across your local repos, your open tasks (TODO file / assigned GitHub issues), and a quick radar check on topics you track — all in parallel — and renders one compact, prioritized brief in chat, carrying over unfinished focus items from yesterday's saved brief. Every source is optional ...

End-of-session shipping gate — "prove it works, then ship it." Runs an evidence checklist (full test suite, lint/typecheck, build, and actually running the change — output quoted, never asserted), then a fresh-context two-stage review by a sub-agent that sees only the diff and the spec: spec-compliance first, correctness second, style never — joined by a cross-model second opinion when a codex/gemini CLI is installed. Flags fake-green tripwires (edited or deleted tests, new TODOs or skips, ha...

Adversarial citation and claim audit for any document — "do these sources actually say what the text claims?" Takes a markdown file, URL, or pasted draft (including this repo's own pulse/verdict briefs), extracts every checkable claim, then fans out verifier sub-agents instructed to refute, not confirm: does the cited link resolve AND assert the claim as stated, is the source primary or a laundered secondary write-up, has the claim gone stale. Emits a graded audit table — VERIFIED / MISATTRIB...

End-to-end feature workflow around the agent — spec by interview, a plan of 2–5-minute tasks, test-first execution with checkpoint commits, then an evidence-gated finish. Effort-scaled: a one-sentence diff skips straight to implementation; a real feature gets spec.md → plan.md → task-by-task TDD, with all state in out/dev/<change>/ so any later session resumes at the first unchecked task. Human-in-the-loop: the spec and the plan are approved (and editable) before any code is written, and noth...

Structured idea generation for a project or a blank-slate problem — ideas worth pursuing, not the first one that sticks. Grounds in the current repo (AGENTS.md/README) or a freeform problem, then diverges across named lenses (adjacent user, removed constraint, inversion, and more) so a run yields range, not ten variations of one idea. Fights premature convergence — nothing judged until the divergence quota is met — then verdicts each idea EXPLORE/PARK/DROP, where DROP is cheap. EXPLORE items ...

Job-fit evaluation and discovery for job seekers — "find roles that fit me" and "should I apply to this one?" DISCOVER searches job boards for openings matching your profile; EVALUATE takes job URLs/descriptions you provide. Both research compensation, company signal, and posting legitimacy in parallel, score each role A–F, and emit a ranked decision brief with tailored CV-bullet suggestions. Evaluated roles persist in out/jobfit/tracker.md so repeat runs skip what you passed on. Keyless and ...

Personalized tutor with memory across sessions — "teach me X, at my pace." Builds a syllabus with a pass rubric per unit, teaches one unit per session: a recall quiz on what's due (date-based spaced repetition), examples matched to your background, and an active-recall check graded against the rubric with confidence tags. Progress and weak spots persist in out/learn/<topic>.md, so sessions resume and re-drill what was missed; fact-sensitive content is verified by web search, not memory. Keyle...

Codebase orientation for an unfamiliar or large repo — "map this before I work in it." Fans out read-only Explore sub-agents that navigate the code (keyless — grep/glob/read, no embeddings to go stale) along the order that matters: entry points, build/test/lint commands, architecture and key abstractions, conventions and gotchas, test layout. Distills the findings into a lean AGENTS.md at the repo root — the cross-tool standard file many agents auto-load — where every claim points to a real f...

Scaffold a new skillhub skill, or repair one that drifted, across all four registration surfaces in one motion — folder, README table row, marketplace plugin, and trigger evals — then prove it with validate-skills.py. User-invoked.

Prior-art check before you build — does this idea already exist? Takes a project/tool/library idea, reframes it in the vocabularies different communities would use, searches where builders publish (code registries, Show HN, arXiv), traces each match one dependency-layer down to the real incumbent, and returns a locator-backed landscape plus exactly one verdict: Build / Fork X / Contribute to Y / Use Z / Investigate first. Checked ideas persist in out/priorart/checked.md, so re-checking one op...

Community-pulse research on any topic — "what are people saying about X right now." Fans out parallel sub-agents across web search, Hacker News, Reddit, and GitHub; ranks findings by real engagement (points/upvotes/stars/comments); flags rumors; and writes a cited brief to chat plus saved .md and .html files. Use when the user wants the current community conversation / recent buzz / sentiment / "last 30 days" view on a person, product, project, or concept — e.g. "/pulse <topic>", "what's the ...

Evidence-driven refactoring — where does structural improvement actually pay off, then make that change without changing behavior. Survey mode diagnoses by evidence, not aesthetics — git churn × complexity hotspots, the recurring-bug log, upcoming work — and verdicts each candidate REFACTOR/PREP/LEAVE/WATCH, where LEAVE is the default and "the textbook recommends it" is never a reason. Execute mode takes one approved candidate in small behavior-preserving moves, suite green after each. Keeps ...

Revisit dashboard — one scan of everything you parked to re-check later, across every skill's memory. Reads out/*/tracker.md and the other memory files skills leave behind (ideate PARK "revive when", verdict/scout revisit-when triggers, refactor WATCH candidates, learn spaced-repetition due dates, jobfit roles to re-check) and surfaces what's due now: date-based items past their date, trigger-based items whose condition may have fired. Renders one prioritized "due to re-check" list in chat — ...

Competitive reconnaissance for your project — what do the repos solving this same problem do better, and what's worth adopting? Finds peer repos (ranked by activity, downloads, dependents — never raw stars), mines what their users beg for — issue reactions, releases, docs claims, every finding with a locator — and verdicts each candidate feature ADOPT/ADAPT/SKIP/WATCH, where SKIP is the default and "a competitor has it" is never a reason. ADOPT items become ready seeds for feature or autopilo...

Harness retro — turn recurring agent mistakes into one-line fixes. Mines recent session transcripts (plus the bugfix log and past runs) for repeated corrections, permission friction, and rules that get violated anyway, then proposes ranked changes one at a time: a CLAUDE.md rule, an allowlist entry, a script replacing repeated prose, a new-skill candidate, or a deletion that no longer earns its context cost. Nothing applies without approval; accepted/rejected findings persist in out/tune/lear...