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cccskills

“efficiency”的搜索结果

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Applies the reasoning style of Ilya Sutskever (deep learning pioneer, co-founder of OpenAI and Safe Superintelligence Inc.) to problems involving AI architecture, scaling laws, alignment, and research strategy. Reach for this skill whenever discussing machine learning paradigms, the limits of compute and data, AGI timelines, superintelligence safety, or deciding between hardcoding vs. learning. Trigger this skill for questions about next-word prediction, reinforcement learning efficiency, generalization gaps, and transitioning from brute-force scaling to fundamental research, even if the user doesn't explicitly name him.

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K-Dense-AI/mimeographs1292026年8月19日 更新

Use this skill on every programming task — writing code, fixing bugs, refactoring, explaining code, running tools, or answering technical questions. Apply token-saving and quality-preserving practices throughout. Activate even when the user doesn't explicitly ask for efficiency — this skill is always relevant for software development work. Do not skip this skill for "simple" tasks; the rules apply at every scale.

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EliasOulkadi/shokunin1132026年10月5日 更新

Simplify recently changed code for clarity, reuse, quality, and efficiency while preserving behavior. Use for tidy/refactor passes; use ce-debug for bugs.

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nota-america/forgecat-agent-profiles922026年9月24日 更新

Analyze Trigger.dev tasks, schedules, and runs for cost optimization opportunities. Use when asked to reduce spend, optimize costs, audit usage, right-size machines, or review task efficiency. Combines static source analysis with live run analysis via the Trigger.dev MCP tools (list_runs, get_run_details, get_current_worker).

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code-with-antonio/browser-automation-app902026年7月18日 更新

Investment portfolio analyzer. Audits current allocation vs target, asset class diversification (stocks, bonds, real estate, alternatives), expense ratios, tax efficiency, rebalancing needs, factor tilts (value, momentum, quality), three-fund portfolio fit, target-date fund analysis, and Boglehead-style optimization. Produces FINANCE-PORTFOLIO.md with a portfolio score, specific rebalancing trades, and fund swap recommendations.

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zubair-trabzada/ai-finance-claude802026年5月13日 更新

Operational efficiency audit — identify waste, redundancy, and friction across processes, tools, and team workflows. Use when asked to "audit our operations for waste", "where are we inefficient", "what tools are we paying for but not using", or "reduce operational overhead".

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tonone-ai/tonone762026年10月15日 更新

Design support metrics dashboard -- CSAT, FRT, TTR, ticket deflection rate, volume trends, and agent efficiency. Use when asked to "what metrics should support track", "build our support dashboard", "measure support quality", or "audit our support performance".

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tonone-ai/tonone762026年10月15日 更新

Delegate tasks to Antigravity CLI (agy) to use its models, tools, and separate working context. Use when delegation can improve efficiency, provide another perspective, or let independent work proceed in parallel.

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thepushkarp/cc-gemini-plugin722026年10月2日 更新

Ecological organization, energy flow, food webs, biodiversity, succession, and species interactions. Covers trophic structure, primary productivity, nutrient transfer efficiency, keystone and foundation species, ecosystem services, carrying capacity, disturbance regimes, primary and secondary succession, and resilience metrics. Use when analyzing how living communities are organized, how energy and matter move through ecosystems, how disturbance and recovery shape landscapes, or why biodiversity matters for ecosystem function.

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Tibsfox/gsd-skill-creator712026年7月20日 更新

Economic analysis of government intervention -- taxation (incidence, efficiency, optimal design), regulation (cost-benefit, market failure correction), externalities (Pigouvian taxation, cap-and-trade, Coasian bargaining), and public goods provision (non-rivalry, non-excludability, free-rider problem). Covers welfare analysis of policy interventions, government failure, and the institutional context of policy-making. Use when evaluating policy proposals, analyzing tax effects, assessing regulatory design, or reasoning about the appropriate scope of government action.

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Tibsfox/gsd-skill-creator712026年7月20日 更新

Organizational strategy and management theory for business decision-making. Covers objectives-based management, the knowledge-worker firm, decentralization, the five management tasks, strategy-as-practice, managerial roles, and the distinction between efficiency and effectiveness. Use when structuring an organization, setting objectives, allocating decision rights, or critiquing a strategy document.

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Tibsfox/gsd-skill-creator712026年7月20日 更新

Power management and performance optimization for Zephyr RTOS. Covers system power states (Idle, Suspend, Off), device-level power management, residency hooks, and code/data relocation for speed efficiency. Trigger when optimizing battery life, reducing latency, or managing memory constraints.

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beriberikix/zephyr-agent-skills702026年5月19日 更新

This skill should be used to enforce token efficiency. Every token must pay rent - no preamble, hedging, restating, filler, or apologies. Evicts freeloading tokens from agent output.

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plurigrid/asi702026年7月10日 更新

simplify

免费

Review changed Anabasis v2 code for reuse, simplification and efficiency, then apply the fixes. Report correctness bugs separately. Starts from the lint plugins, the whole-tree census and the not-slop ledger, measures before and after with reduce-complexity's scripts, and holds a pass to its budgets and the repository's rules. Use as /simplify on your own diff before a commit, or when the operator asks whether code is simple enough, why something exists, to go one layer higher, or to remove something and find another way.

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s-smits/anabasis642026年10月21日 更新

Expert prompt engineer specializing in designing, optimizing, and managing prompts for large language models. Masters prompt architecture, evaluation frameworks, and production prompt systems with focus on reliability, efficiency, and measurable outcomes.

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diegosouzapw/awesome-omni-skill642026年3月2日 更新

Expert C++ developer specializing in modern C++20/23, systems programming, and high-performance computing. Masters template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis on safety and efficiency.

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diegosouzapw/awesome-omni-skill642026年3月2日 更新

Analyze the source code for problems in either the logic and semantics and its related control flow, performance and efficiency, or security.

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rse/ase602026年10月20日 更新

docker

免费

Docker best practices: image security, build efficiency, runtime hardening, Compose, local tooling (Colima, OrbStack). Use when writing or reviewing Dockerfiles and Compose files.

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SumonMSelim/agentguard542026年10月12日 更新

Analyzes special dividend catalysts with balance sheet capacity, tax efficiency, and shareholder return comparison analysis. Use when modeling special dividends, evaluating capital return catalysts, or assessing dividend capacity.

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CaseMark/skills462026年10月17日 更新

Analyzes event-driven opportunities with catalyst identification, pricing efficiency assessment, and risk/reward evaluation. Use when analyzing event-driven situations, evaluating catalysts, or assessing event timing.

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CaseMark/skills462026年10月17日 更新

Structures 100-day and long-term value creation plans with revenue growth, margin improvement, and capital efficiency initiatives. Use when building value creation plans, tracking improvement initiatives, or preparing operating partner reviews.

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CaseMark/skills462026年10月17日 更新

Deconstructs unit economics with CAC, LTV, payback period, gross margin, and contribution margin analysis. Use when analyzing unit economics, validating SaaS metrics, or assessing business model efficiency.

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CaseMark/skills462026年10月17日 更新

Evaluates transportation assets with ridership analysis, fare structure assessment, and operating efficiency benchmarking. Use when analyzing transportation projects, evaluating mass transit, or assessing toll road economics.

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CaseMark/skills462026年10月17日 更新

Structure-based docking with AutoDock Vina, Vinardo, and AutoDock4 through the Meeko toolchain. Use this skill to define a docking box, prepare receptors and ligands as PDBQT, run single or batch docking, rescore, and interpret affinities, poses, and ligand efficiency. Covers box definition from a reference ligand or pocket residues, protonation and tautomer decisions, flexible side chains, exhaustiveness and seeds, redocking validation, and virtual screening over compound libraries. Also trigger on vina, smina, gnina, mk_prepare_ligand, mk_prepare_receptor, mk_export, scrub.py, PDBQT, autogrid4, docking box, or binding-pose prediction.

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K-Dense-AI/drug-discovery-agent-skills452026年10月19日 更新