Academic-integrity-aware study coach: Socratic tutoring, syllabus-to-study-plan, flashcards and spaced repetition, essay coaching (never ghostwriting), source evaluation and citation checks, exam prep, level-adjusted explanations, and math/code step-checking.
Plugin student-augmentor from marketplace augmentor-packs in Krosebrook/augmentor-packs. Commands read from the repo's manifest — today.
active-recall-coachUse when a student wants flashcards, to memorize material, to quiz themselves, or to set up spaced repetition. Builds high-quality recall cards from the student's own notes, runs retrieval practice, and schedules reviews. Trigger on "make flashcards", "help me memorize", "quiz me on my notes", "Anki
essay-coachUse when a student is working on an essay, paper, or written assignment and wants help with thesis, outline, structure, argument, or feedback on their draft. Coaches the student's own writing; never ghostwrites graded work. Trigger on "review my essay", "help me outline", "is my thesis good", "feedb
exam-prepUse when a student has an upcoming test, midterm, final, or quiz and wants practice questions, a mock exam, a review plan, or to find their weak spots. Builds questions from the student's own course material, grades their answers with explanations, and targets weak topics.
explain-at-levelsUse when a student wants a concept explained more simply, more rigorously, or at a different level — "explain like I'm 5", "simpler", "give me the intuition", "the formal version", "I don't get the textbook explanation". Produces a ladder of explanations from intuition to formal and checks which run
socratic-tutorUse when a student is stuck on a concept or homework problem and wants to understand it, not just get the answer. Guides with questions, hints, and checks for understanding instead of handing over solutions. Trigger on "help me understand", "I'm stuck on", "walk me through", "why does", or any reque
source-evaluatorUse when a student is researching, finding sources, deciding whether a source is credible, or checking citations and a bibliography. Teaches lateral reading and SIFT/CRAAP-style evaluation, checks citation formatting against the style the student names, and flags references that need verification. N
step-checkerUse when a student shares their own worked math, physics, chemistry, statistics, or code solution and wants to know if it's right or where it went wrong. Checks line by line, locates the first error, and hints at the fix without rewriting their solution.
study-plan-builderUse when a student shares a syllabus, course schedule, or list of exams/deadlines and wants a realistic study plan. Builds a week-by-week plan with spaced review, workload estimates, and buffers, based only on dates the student provides.
/student-augmentor:check-stepsCheck your worked math or code solution line by line and point to the first error without giving away the answer
/student-augmentor:essay-feedbackGet writing-center style feedback on your own essay draft (no rewriting)
/student-augmentor:integrity-checkCheck whether a planned use of AI fits your course's academic integrity / AI policy
/student-augmentor:make-cardsTurn your notes into high-quality flashcards in Anki-importable format
/student-augmentor:quiz-meRun a retrieval-practice quiz on a topic or notes file, grading your answers one at a time
citation-auditorAudits a paper's in-text citations and reference list for consistency, completeness, and style-format issues, and flags every reference that the student must personally verify. Use when a student asks to check citations or a bibliography in a document.
practice-examinerBuilds and grades a realistic mock exam from the student's course materials, then produces an error analysis and targeted review plan. Use when a student wants a full practice test or timed mock before an exam.
For people with some technical background moving into building with AI: prompt engineering, agentic workflow design, LLM APIs, RAG, evals, shipping a prototype, a learning roadmap, reviewing AI-generated code, and LLM app security.
9 skills · 5 commands · 2 agents
Co-pilot for parents and family caregivers: family logistics and meal planning, a homework coach that doesn't give answers, school and doctor message drafts, aging-parent appointment prep, a care log, benefits/legal question checklists that defer to professionals, and self-care.
9 skills · 5 commands · 2 agents
Sparring partner for solo founders: positioning and offer, customer discovery scripts and synthesis, pricing, landing page copy, outreach drafts, weekly CEO review, runway math, SOPs/delegation, and a decision journal.
9 skills · 5 commands · 2 agents
Start here if you're new to AI: a warm, jargon-free first-week tour, asking clear questions, checking answers and spotting made-up facts, what not to share, picking the right pack, breaking messy tasks into steps, practice with feedback, and a plain-words glossary. Coaches; never replaces you.
8 skills · 5 commands · 2 agents
Planning and feedback co-pilot for teachers: standards-aligned lesson and unit plans (you supply the standards), differentiation/UDL, rubrics, assessments, feedback suggestions on student work (you stay the grader), parent communication, and classroom AI policy.
8 skills · 5 commands · 2 agents
Knowledge-work co-pilot: inbox triage and reply drafts, meeting prep and notes-to-actions, document/report drafting, spreadsheet formulas and analysis, slide outlines, stakeholder updates, SOPs, and polite-pushback/negotiation coaching. Drafts only; you send.
8 skills · 5 commands · 2 agents
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Statically analyze a local JS/Electron app you're authorized to study, with file+line evidence, and build an original reimplementation of what you find. Experimental. Phase 1: JS/Electron static analysis. Phase 2: native ELF/PE/Mach-O container inspection. Phase 3: .NET assembly metadata. Phase 4: EVM bytecode inventory. Phase 5: CUDA fatbin, cubin and PTX inventory. Parses, never executes. Dynamic analysis is a future phase, not yet implemented.
1 skill · 1 command · 1 agent
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.
6 skills · 7 commands · 2 agents
围绕复杂问题先挖掘相关行业、学科、作者与可信理论，再比较结构同构的历史成功、失败和反例，提炼带条件的标准答案。用户需要同时获得理论解释与历史比较，或明确询问历史上如何解决、有没有经典解法、标准答案时使用；只需给现有命题、案例、PPT 或方法论找理论依据时不使用。
1 skill
Drills Socratically, briefs cases, builds outlines, runs bar prep sessions tuned to your jurisdiction, grades IRAC practice, and plans the study schedule — without ever writing it for you.
13 skills · 4 MCP servers
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