メニュー
SkillsMP は p10ns11y/thepulimaangani 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。
Adversarial verification of claimed work: read shipped modules (not memory), grep wiring and approvals, run tests, demand evidence before pass verdict. Use when reviewing agent output, PRs, or security-sensitive changes before merge. Triggers: adversarial…
原文の言語: 英語
Triage every non-trivial task first: single-shot when safe, full orchestration when multi-step, multi-agent, or high-risk. Covers briefs, verification before "done", iterative waves, and resume. Use when coordinating workers, delegating, or reviewing agent…
原文の言語: 英語
Fission engine for token-efficient coding (JS, TS, Node, Rust, Python, ML/AI): relevance scoring, hierarchical compression, strict token budgets, progressive disclosure, accuracy guardrails. Pair with fusion-sage for synthesis/surplus. Triggers: tokens,…
原文の言語: 英語
Architecture synthesis after ai-optimization (fission): cross-file abstractions, ⚡ surplus (Q>1), optional session knowledge graph, binding energy toward iron-peak design. Use for architecture, domain models, compounding maintainability — not pure one-file…
原文の言語: 英語
Agent control-plane as a graph: outer state machine (or cyclic loop) over named phases, nested inner DAGs or bounded sub-loops, hard budgets, HITL pause gates, and multi-model routing (fast/explore/coding/deep/review). Use for multi-step agent cycles,…
原文の言語: 英語
Map the relevant code with Glob/Grep/Read before writing. Use when the user asks to change, fix, or add behavior and the touch points are unclear, or when top tool sequences show Read→Grep→edit. Also for /explore-then-edit.
原文の言語: 英語
Fusion on fission: after ai-optimization pruning, synthesize cross-file abstractions, emit ⚡ surplus (Q>1), maintain a session knowledge graph, and score binding energy toward iron-peak design. Use for architecture, domain models, compounding maintainability…
原文の言語: 英語
Applies first-principles, multi-order consequence analysis, inversion, systems thinking, probability, antifragility, and high-energy thrive ascent (2036 lens) before material coding decisions (architecture, dependencies, public API, security, data contracts,…
原文の言語: 英語
Peramanathan Sathyamoorthy's senior ML/AI systems engineering principles — first principles thinking inspired by Feynman and Musk, Machine First architecture, strong mathematical and physics foundations, rapid practical learning through clean iteration, deep…
原文の言語: 英語
Continue an in-flight plan when user says proceed, go ahead, or do that. Use after CreatePlan, TodoWrite, or a multi-step refactor — do not restart exploration.
原文の言語: 英語
Senior client-side React (no RSC for UI): minimal state, deliberate effects, use() + Suspense and TanStack Query for data, XState for complex flows, refs, restrained Context. Use for components, hooks, fetching, effects, or client refactors in .tsx files.
原文の言語: 英語
Authors evidence-driven architecture backlog docs (coming-next style): scorecards, mermaid diagrams, blueprint cards SN-*, thrive vision, gantt order. Use when creating or updating roadmaps, spacemaps, arch-design/coming-next.md, backlog after PRs, or when…
原文の言語: 英語
Systematic Glob → Grep → Read exploration before edits or answers. Use for explore/map requests, unfamiliar modules, or /structured-repo-explore.
原文の言語: 英語
Delegate broad exploration to a subagent with a fixed Return format. Use when the task needs readonly repo mapping, token/CSS/prosody surveys, QA module exploration, or "explore thoroughly" with numbered deliverables.
原文の言語: 英語