Map the epistemic structure of a subject to determine knowledge types and inform curriculum sequencing. Use when designing courses, restructuring programmes, or analysing knowledge architecture.
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Map the epistemic structure of a subject to determine knowledge types and inform curriculum sequencing. Use when designing courses, restructuring programmes, or analysing knowledge architecture.
日本語の概要は準備中です。原文の説明を表示しています。
Run this Django app locally against a throwaway database and drive its pages over HTTP to observe a change working. Use when verifying student/cadmin page behavior end-to-end.
日本語の概要は準備中です。原文の説明を表示しています。
Build, deepen, validate, index, and maintain a private hierarchical career knowledge graph from supplied career materials. Use when the user asks to create or update a VitaeGraph, model education with nested courses or thesis work, enrich projects from Git repositories, or supply deep selected career context to another VitaeContext skill.
日本語の概要は準備中です。原文の説明を表示しています。
Pragmatics and communicative competence across languages -- speech acts (Austin/Searle), Grice's conversational maxims and implicature, politeness theory (Brown & Levinson), face-threatening acts, discourse structure, turn-taking, repair strategies, register and formality, cross-cultural communication, communicative strategies (circumlocution, approximation, appeal for assistance), and the gap between grammatical competence and communicative performance. Use when teaching communication skills, analyzing cross-cultural misunderstandings, building conversational fluency, or understanding why grammatically correct sentences can be pragmatically inappropriate.
日本語の概要は準備中です。原文の説明を表示しています。
Reviews a whole deliverable (talk, course module, paper, chapter, or referee report) against its manifest without rewriting it. Runs a deterministic gate for build, citations, numbers, facts, and leaks and stops on failure, then runs a finder over each section and a strong-model pass over the whole work, and adjudicates into checks/<date>/findings.json and report.md with anchored findings, severities, and honest NOT CHECKED coverage within a dollar budget. Use when asked to lint or review the whole talk, module, or paper, for a pre-ship review, or for the night shift. Revision stays serial and author-led.
日本語の概要は準備中です。原文の説明を表示しています。
Opens a deliverable (talk, course module, paper, book chapter, or referee report) for AI-assisted work across sessions. Interviews the author for the manifest, then scaffolds deliverable.yml, an append-only HANDOFF.md, a numbered planning/ wiki with open questions, an inbox/ for dictated braindumps, a gitignored checks/, and the house deck template for talks. Use when starting deadline-driven work that spans sessions, or when asked to open a deliverable, set up a talk, paper, or module for the pipeline, or make a manifest. Not for one-off tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Add new learning resources (books, articles, courses, papers) to the appropriate resources.md file. Use when user mentions adding, saving, or tracking learning materials.
日本語の概要は準備中です。原文の説明を表示しています。
Use whenever the user wants to find, shortlist, vet, or enrich US AI/ML/data consulting firms (consultancies) — AI/ML development, MLOps, generative AI / LLM apps (RAG, chatbots, agents), computer vision, NLP, recommendation systems, data engineering, BI/analytics. Triggers on "find an AI/ML consulting firm to build our recommendation engine", "shortlist three RAG/LLM consultancies for an enterprise chatbot", "compare three AI/ML consulting firms with strong ratings", or "pull contact info for these 8 AI consultancy domains", even when described indirectly (we want to use AI for X, deploy ML to production). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-software-developer for general app/backend work where AI is just a feature. Skip in-house ML/data hires, LLM/AI-tool comparisons (ChatGPT vs Claude), "how do I fine-tune X" DIY questions, AI courses for individuals, non-US firms, individual freelancers.
日本語の概要は準備中です。原文の説明を表示しています。
Verify GitHub Copilot app screenshots match the course content. Use when running /check-screenshots-content, or when asked to confirm that app- prefixed screenshots in chapter assets folders are consistent with the README labels, button names, menu items, dialog options, and step-by-step instructions that reference them.
日本語の概要は準備中です。原文の説明を表示しています。
Wrap a raster image in an SVG and overlay a numbered red "step" circle for course screenshots. Use when running /create-svg-image, or when asked to add a numbered callout badge to an image (e.g. a red circle with a "1" pointing at a UI control) that must still render on a GitHub README.
日本語の概要は準備中です。原文の説明を表示しています。
Explainability (XAI) audit for products containing AI components. Five-stage tier-scaled check: risk classification, stakeholder×question matrix, fidelity audit, system card, recourse path. Honest about what was validated functionally vs what needs user testing.
日本語の概要は準備中です。原文の説明を表示しています。
Source pre-2016 cinema with gothic/occult sensibility, literary texture, and historical grandeur — build watchlists, curate Criterion/MUBI picks. Uses Perplexity for film discourse, Exa for web search, Firecrawl for scraping. Triggers on film recommendations, watchlist, gothic cinema, occult film, arthouse, pre-2016 movies.
日本語の概要は準備中です。原文の説明を表示しています。
CORE learning workflow — use this whenever the user has a source note open (paper, post, book, lecture, course, clipping) and wants to extract knowledge, understand what they just read, or build it into their vault. Triggers on "process this note", "process this paper", "extract concepts", "what can I learn from this", "atomize this", "add this to my vault", "what's important here", or when the user shares a note and asks for help understanding it. Do NOT wait for an explicit /process command — if the user is engaging with a source note and wants to go deeper, this skill applies.
日本語の概要は準備中です。原文の説明を表示しています。
Create or improve documentation based on the current conversation. Use this when a plan has been created and changes were requested because it didn’t follow the repository’s conventions.
日本語の概要は準備中です。原文の説明を表示しています。
Database conventions and patterns. Use when working on database schemas, migrations, or data modeling.
日本語の概要は準備中です。原文の説明を表示しています。
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications.
日本語の概要は準備中です。原文の説明を表示しています。
Checks the status of the repository
日本語の概要は準備中です。原文の説明を表示しています。
Execute queries on the Postgres database. Use this skill DIRECTLY whenever the user asks anything about database contents, counts, or data — do NOT read compose.yml or SQL migration files first.
日本語の概要は準備中です。原文の説明を表示しています。
Backend conventions and patterns. Use when working on API routes, dependency injection, or hexagonal architecture in the backend.
日本語の概要は準備中です。原文の説明を表示しています。
Navigate websites and query page content using Playwright CLI. Use this skill when the user asks to open a URL, extract data from a page, or check UI state.
日本語の概要は準備中です。原文の説明を表示しています。
Manage the kanban board. List, read, and close GitHub issues.
日本語の概要は準備中です。原文の説明を表示しています。
Testing conventions and patterns. Use when writing or modifying tests, creating mocks, or using object mothers.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a course needs numbered problem, solution, and explainer scaffolds. Not for a CLI or Next.js project scaffold: use scaffold-nextjs.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user wants a course, a learning workspace, or ongoing teaching across sessions, with cited lessons and retention-gated advancement. Not for one-off explanations: use explain-concept.
日本語の概要は準備中です。原文の説明を表示しています。