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SkillsMP は mehdiforoozandeh/skills から 14 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。
収集済み skill 14 件中 14 件を表示しています。
Pick the model tier for every subagent before spawning it, so cheap work runs on cheap models: Opus for anything that writes, runs, implements, designs, or carries consequence; Sonnet for read-only work like research, reading, and summarizing; a Haiku swarm…
原文の言語: 英語
Rapid-fire conversation mode: reply in 2–3 sentences max — usually one, sometimes two words — the way a colleague answers across a desk. A hard ceiling, not a target: the reply is sized to the question, and when the whole answer doesn't fit, the part that…
原文の言語: 英語
Test whether the user's mental model still matches work that already exists — code the agent wrote, a PRD, a plan, a document tree — usually because they delegated it, skimmed it, or were away while it was built. Derives a tree from the artifact, then asks…
原文の言語: 英語
Interactive multiple-choice teaching drill on a subject the user doesn't know yet. Requires a grounding source (the user names one, or it asks, or it searches out a credible one), shows the syllabus for approval, then climbs a general → specific knowledge…
原文の言語: 英語
Resolve a stuck trade-off — "we can't improve A without hurting B" — by finding a structural fix that dissolves the conflict instead of trading along it. Names the single element that must be two things at once, then looks for the escape across four…
原文の言語: 英語
Re-situate something you (the agent) just said when it drifted into jargon or internal framing the user never grounded — NOT by dumbing it down (ELI5), but by filling in the missing context: a brief backdrop, how it fits together, and where it lands in *this*…
原文の言語: 英語
Brainstorm a consequential, no-ground-truth question with a panel of diverse minds, then resolve it dialectically. A casting step derives orthogonal thinking-axes for the question (each a quality to maximize) and casts one persona per axis; the personas…
原文の言語: 英語
Set up, compile, preview, and troubleshoot LaTeX in VS Code with the LaTeX Workshop extension — an Overleaf-equivalent local/remote workflow (build-on-save, PDF preview, SyncTeX, latexmk, bibtex citations, LTeX grammar, Live Share). Use whenever working with…
原文の言語: 英語
Brief refresher for resuming a long-running chat after time away. Reads back the current conversation and distills one scannable screen — what we're working on, where we are (including decisions already made), what's waiting on your call, and the next moves.…
原文の言語: 英語
Concise-and-clear response mode that maximizes the reader's understanding per word: maximize understanding, then minimize words — in that order. Keep full grammatical sentences (not clipped fragments), technical precision, and every fact; cut only filler,…
原文の言語: 英語
Run ERA-style empirical-software search (Google ERA / Flat UCB Tree Search) to evolve whole programs toward a scalar objective. Use for software/algorithm DESIGN: an LLM writes and rewrites complete candidate programs, a sandbox scores each, and a flat PUCT…
原文の言語: 英語
Resolve a hard question by running a three-agent dialectic: a Thesis agent proposes, an Antithesis agent attacks/questions, a Synthesis agent sublates (preserves + transcends) into a new position that becomes the next round's thesis. Iterates until the…
原文の言語: 英語
Hierarchical-outline response mode: answer as a nested-bullet toggle list (a tree), not prose. Use when user wants a response structured as a hierarchy — designing a project/system from scratch (goal → main components → subcomponents → …), breaking a problem…
原文の言語: 英語
Interactive, high-bandwidth collaboration mode: think deeply but answer in tight, one-idea-at-a-time turns that invite a reply. Use when user wants to brainstorm, design something from scratch, be grilled/Socratically questioned, pressure-test an idea, or do…
原文の言語: 英語