Loading...
Loading...
Found 304 Skills
Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
Generate and maintain a project's reader-facing documentation in-repo — getting-started, how-to guides, architecture overview, runbooks — with every command verified against the code, in four modes: init, update, audit, and an opt-in publish that mirrors the set to the GitHub wiki. Use when the user says "write docs for this project", "document this repo", "update the docs", "our docs are stale", "write a runbook", "write a getting-started guide", "architecture overview", "sync the docs to the GitHub wiki", or "/wikikit". Not an agent handoff, and not the glossary or ADRs.
Select and configure nonlinear solvers for root-finding f(x)=0, optimization min F(x), and least-squares problems — choose among Newton, Newton-Krylov, quasi-Newton (BFGS, L-BFGS), Broyden, Anderson acceleration, and Levenberg-Marquardt methods, configure line search or trust-region globalization, diagnose convergence rate (quadratic, linear, stagnated), and assess Jacobian quality and conditioning. Use when a Newton solver converges slowly or diverges, choosing between line search and trust region, debugging nonlinear iteration failures in FEM or phase-field codes, or selecting a solver for large-scale unconstrained optimization, even if the user only says "my Newton iterations aren't converging."
Report local Claude, Codex, Cursor, GitHub Copilot, Grok, and Kimi quota windows via the quota-axi CLI - remaining effective usable runway, percentages, reset times, cycle-average pace vs the reset clock, and provider status read from local auth sources, with no routing, provider mutation, or default ordering preference. Use before deciding whether it is safe to keep spending a provider's quota, when the user asks about usage, rate limits, pace, or remaining quota, or when comparing local provider headroom.
Use when writing or reviewing anything that will be read as true — a decision record, a README, an acceptance report, a runbook, a changelog entry, an audit finding, or any claim that something was verified. Applies the ten canons of evidence-backed documentation — what makes a claim documentation rather than an assertion — and routes to the doctrine that enforces each one. Also use when a project needs a documentation gate, a decision register, a propagation matrix, or a retrospective that outlives its author. Triggers - 'documentation gate', 'decision record', 'ADR', 'acceptance report', 'runbook', 'is this verified', 'доказательная документация', 'записать решение', 'отчёт о приёмке', 'раннбук', 'чем это подтверждено', 'доки в синхроне'. Not for: drafts, chat answers, commit messages or code comments — say 'без доков' to opt out.
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
Generate a stakeholder update tailored to audience and cadence. Use when writing a weekly or monthly status for leadership, announcing a launch, escalating a risk or blocker, or translating the same progress into exec-brief, engineering-detail, or customer-facing versions.
Expert in designing high-level enterprise solutions. Specializes in TOGAF adaptation, trade-off analysis, and aligning technology with business strategy.
Use when starting a Beat change to create spec artifacts — not for task breakdown, implementation, or exploration
LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
Invoke for complex multi-step tasks requiring intelligent planning and multi-agent coordination. Use when tasks need decomposition, dependency mapping, parallel/sequential/swarm/iterative execution strategies, or coordination of multiple specialized agents.