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このリポジトリの skills
SkillsMP は hoanganhduc/ai-agents-skills から 59 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
hoanganhduc/ai-agents-skills収集済み skill 59 件中 19 件を表示しています。
Route Canvas LMS course operations through the course_hoanganhduc canvas agent: preflight, list assignments/members, search users, and roster sync. Refuses unenroll, grade, invite, announce, messages, pages, and bulk download.
原文の言語: 英語
Route Google Classroom operations through the course_hoanganhduc gclass agent: preflight, list courses/students, and roster sync. Refuses unenroll, grade, and submission download.
原文の言語: 英語
Use when the user wants animated math (handwritten-style equation writing, equation morphing between derivation steps, and emphasis) rendered with Manim, as a silent video clip that can stand alone or be spliced into a slides-to-video deck. The free, optional…
原文の言語: 英語
Route Classroom50 (foundation50) instructor workflows through the course_hoanganhduc agent entrypoint: readiness, list classrooms/roster/assignments, roster sync into local DB, and C50 CSV export. Raw gh teacher is limited to a non-mutating help probe.
原文の言語: 英語
Route local course student-database operations through the course_hoanganhduc db agent: search, details, domain/duplicate/missing-id lists, roster and email export. Refuses interactive modify, restore, and destructive import apply.
原文の言語: 英語
Use when the user wants a minimal Lean-style theorem skeleton, namespace wrapper, or generated formal statement stub.
原文の言語: 英語
Use when the user wants a quick sanity check for a finite graph claim, construction, or encoding using the lightweight OpenClaw verifier.
原文の言語: 英語
Use when drafting, validating, or normalizing bounded cross-agent task/result packets for parent-controlled handoffs. This is a packet-contract skill, not a runtime delegation broker.
原文の言語: 英語
Use for a clarity-only pass that must not change behavior — simplifying, renaming, de-duplicating, or restructuring code, configs, research scripts, or prose. Gates on understanding the target before touching it and re-verifies after each change so behavior…
原文の言語: 英語
Use in-flight, the moment you are about to let a non-trivial decision stand — a branching or control-flow change, crossing a module/service/agent boundary, an assertion the type system or proof checker cannot see, a high-stakes or irreversible action, or an…
原文の言語: 英語
Use when choosing an appropriate model, reasoning level, and role for subagents or multi-agent research work.
原文の言語: 英語
Use when the user asks about earlier conversations, prior outputs, historical context, or past work that may live in Codex memories, Codex session logs, or optional legacy OpenClaw logs.
原文の言語: 英語
Use when drafting, rewriting, polishing, or revising prose while preserving author intent by tracking claims, evidence, caveats, and revision deltas.
原文の言語: 英語
Use when an ask is underspecified, or you catch yourself inferring what the user wants, before any brief, spec, plan, or code. Elicits the real intent one question at a time, each with your best guess attached, until you can predict the user's answers, then…
原文の言語: 英語
Use before a version- or spec-sensitive decision — framework or library code, a CLI flag, a config schema field, or a named standard/edition — when correctness depends on the exact version. Detect the version, ground the decision in the authoritative source,…
原文の言語: 英語
Use before delivering work that incorporated content the agent did not author — fetched web pages, PDFs, retrieved or library documents, tool or subagent output — or that performs an outward-facing or irreversible action. Maps trust boundaries and runs an…
原文の言語: 英語
Use as a metadata and discovery fallback for papers, preprints, citations, DOIs, PMIDs, and open-access signals after local library routing is exhausted or when external paper discovery is explicitly needed.
原文の言語: 英語
Use when the user wants to organize, rearrange, sort, or clean up workspace files with safe dry-run and explicit apply behavior.
原文の言語: 英語
Use when the user wants structured information from public scientific, biomedical, regulatory, materials, or economic databases. This is a reference-first skill for selecting the right database and query strategy.
原文の言語: 英語