explanatory-output-style
claudeAdds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Generate final exams, class tests, practice sheets, and quizzes from course material (text, images, or PDFs)
Plugin paper-forge from marketplace teaching-tools in nikikothari/teaching-tools. Commands read from the repo's manifest — 1 month ago.
class-testGenerate a short graded class test on one or two recently taught topics, typically 20 marks in 30 minutes. Use when the user asks for a class test, unit test, weekly test, surprise test, chapter test, or a quick graded assessment on specific topics. Do not use for full syllabus final exams or ungrad
final-examGenerate a summative final examination paper covering a full syllabus, with sections, internal choice, and a marking scheme. Use when the user asks for a final exam, term-end paper, board-pattern paper, semester exam, annual exam, or a high-stakes graded paper from their course material. Do not use
practice-sheetGenerate an ungraded practice sheet or worksheet with a difficulty ladder and an answer key. Use when the user asks for a practice sheet, worksheet, homework sheet, drill sheet, revision questions, or practice problems for students to work through. Do not use for graded exams or tests.
quick-quizGenerate a fast 5-minute recall quiz on a single concept, mostly multiple choice and true/false, for use at the start or end of a class. Use when the user asks for a quick quiz, warm-up questions, exit ticket, bell-ringer, oral quiz, or a handful of rapid recall questions. Do not use for graded test
blueprint-architectDesigns the structural blueprint of any Paper Forge output — slots, marks, Bloom levels, topic weightage — before question text exists. Invoke after the topic map exists and the profile is loaded. Shared across all four paper skills.
item-writerWrites question text for blueprint slots, with answers and source anchors. Invoke once per question type, in parallel. Behaviour varies by item_writer_mode. Never invoke before a blueprint exists. Shared across all four paper skills.
paper-criticReviews a generated item set for groundedness, ambiguity, duplication, difficulty mislabeling, distractor quality, and time budget. Returns a per-item verdict. Invoke after item-writer, before assembly. Strictness varies by profile. Shared across all four paper skills.
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Guided modernization for any legacy codebase: start with /modernize, get an assessment, an interactive map, the business rules mined from the code, and a plan you approve, then an upgrade, a rewrite or a rebuild with independent proof that the new code behaves like the old. Includes security hardening, a one-page report, specialist agents, and an optional live progress pane (early access).
13 commands · 8 agents · hooks
Performance analysis, test coverage review, and AI-powered code quality assessment
2 commands · 2 agents
Engineer an agent's forgetting, not just its remembering. Four deterministic stdlib scripts implement the four lenses of agent memory: a cost profiler that splits construction from query spend and reports cost per correct answer (construction energy exceeds total query energy across 300 queries in the Stanford characterization); an architecture picker that scores the four paradigm families — long-context, flat RAG, structure-augmented RAG, agentic — disqualifies on hard constraints, names the cost the winning choice makes you pay, and refuses to pick when the top two tie; a density auditor that classifies every record in a memory directory or JSONL export as FACT / SKILL / LOG / PROSE, finds near-duplicates, and flags stale wording; and a forgetting-policy linter that fails any design with no forgetting rule. Ships cs-memory-engineer agent, /cs-memory-engineering and /cs-forgetting-audit commands, 4 references, and a seven-question forcing worksheet.
1 skill · 2 commands · 1 agent
Create, inspect, validate, and assess furniture layouts with bounded next actions in Pascal through MCP.
3 skills · 2 MCP servers
Triages proposed AI use cases against your registry, runs impact assessments across the regimes in scope, reviews vendor AI terms for training-on-data and liability gaps, and keeps your AI policy current with practice.
10 skills · 2 MCP servers
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