
NestJS (Nest.js) production patterns for modules, controllers, providers, guards, interceptors, pipes, middleware, JWT, ValidationPipe, microservices, GraphQL, Bull queues, Prisma, and TypeORM. Triggers: NestJS, Nest.js, Nest module, dependency injection, class-validator DTO, exception filter, testing module, GraphQL resolver, Bull queue, microservice client. Uses: Read, Grep, Glob, Bash, WebSearch. Outputs: tier-ordered review checklists and/or concrete code edits with cited rule filenames. Do NOT use for: non-Nest backends (Express/Fastify only with no Nest integration), frontend-only frameworks, generating AGENTS.md, or toolchain setup unrelated to Nest.
Compiles and maintains a persistent LLM-written markdown wiki between immutable raw sources and answers—the Karpathy LLM Knowledge Base pattern. The agent writes and maintains the wiki; the human curates sources and reads it. Knowledge compounds instead of being re-derived each query. Triggers: llm wiki, persistent wiki, personal knowledge base, wiki maintenance, ingest sources, compound knowledge, index.md, log.md, Obsidian wiki, cross-references, Karpathy wiki pattern, compile wiki, knowledge base. Uses: Read, Glob, Grep, file edits, optional WebSearch, AskUserQuestion when schema or goals are ambiguous. Outputs: updated wiki pages, index, append-only log, citations on query, filed answers, visual outputs. Do NOT use for: mutating raw sources, one-off chat answers with no wiki artifact, or replacing a user-defined wiki schema without reading it first.
Use this skill any time someone wants to create, scaffold, build, fix, improve, benchmark, or optimize a Tessl/Claude skill — even if they don't say 'tessl' explicitly. If the request involves making a new skill ('create a skill for X', 'build me a skill that does Y', 'scaffold a skill called Z'), fixing or completing an existing one (missing tile.json, broken repo integration, low eval scores, description not triggering), or running and iterating on evals, invoke this skill. The full workflow covers: structured interview → SKILL.md + tile.json + rules/ scaffolding → README/CI repo integration → tessl tile lint → optional Tessl CLI pipeline (skill review, scenario generate/download, eval run) → hand-authored evals or LLM-as-judge fallback → benchmark logging. Do NOT use for: editing application code, debugging, refactoring, writing general documentation, or creating presentations.
Professional UI/UX design skill for React, Next.js, Tailwind CSS, React Native, and Flutter. Use when the user asks to create or polish UI components (modals, forms, tables, charts, navbars, sidebars, cards), design landing pages, build dashboards or admin panels, set up SaaS or mobile app screens, review or fix layout and accessibility issues, configure dark mode or responsive breakpoints, or establish a design system with tokens and component specs. Capabilities include: creating design-system token files and MASTER.md artifacts, generating responsive Tailwind layouts, scaffolding page-level component hierarchies, reviewing and fixing UI accessibility (a11y, WCAG), implementing React Native safe-area screens, and configuring Flutter ThemeData. Outputs design-system files (MASTER, page overrides, tokens, component specs) plus stack-faithful code. Do NOT use for: pure backend-only work with no UI impact, or inventing branding assets you do not have rights to use.
Creates, updates, or prunes an AGENTS.md for any repository by auditing the codebase, detecting non-discoverable gaps, and drafting minimal high-signal instructions. Triggers: AGENTS.md, agent setup, agent config, init agents, workspace setup, agent instructions, Claude setup. Uses: Read, Bash, Glob, Grep, AskUserQuestion. Outputs: AGENTS.md at repo root (or module-level for monorepos). Do NOT use for: writing README, generating docs, configuring CI, or editing code.
Rigorous thirteen-part synthesis of a text or talk: deep summary, insights, structure, critique, framework rebuild, and CEO-level takeaways. Triggers: reading synthesis, synthesize this, deep dive, rigorous analysis, deconstruct, book analysis, article analysis, essay breakdown, intellectual synthesis, multi-dimensional analysis, executive summary of ideas, framework extraction. Uses: Read (and related file tools) for attached sources; WebSearch or WebFetch when comparands are missing or context is thin. Outputs: single structured markdown message with fixed section headers per rules/output-sections.md.
Conduct an interactive discovery interview to produce a structured product specification. Triggers: write a spec, PRD, feature spec, requirements, product requirements, scope a project, brainstorm a feature, flesh out an idea, plan a new project. Uses AskUserQuestion for all user choices; WebSearch/WebFetch when the user wants research. Outputs: user stories, acceptance criteria, technical constraints, prioritized requirements in docs/specs/ per SPEC_TEMPLATE.md. Do NOT use for: implementation, code review, debugging, refactors, or when the user already has a complete spec they only want edited.
Remove AI-writing tells and rewrite prose to sound natural and human. Triggers: humanise, humanize, de-AI, deAI, sound natural, less robotic, remove AI tells, AI writing, chatbot tone, Wikipedia AI writing signs, voice match, voice calibration. Uses AskUserQuestion for intake; Read/Write for files; WebSearch/WebFetch when the user wants terminology or usage research; Bash when applying edits in a repo. Outputs: interactive Q&A then rewritten text (and optional brief edit log). Do NOT use for: inventing facts, changing the author's stance, weakening safety or compliance language without explicit instruction, or skipping intake when the user's goals and preservation rules are unclear.