4.6万 件 ・ 関連度順
概要と使いどころ
API design patterns for REST, gRPC, and GraphQL. Use for: api design, REST, gRPC, GraphQL, protobuf, schema design, api versioning, pagination, rate limiting, error format, OpenAPI, API authentication, JWT, OAuth2, API gateway, webhook, idempotency.
日本語の概要は準備中です。原文の説明を表示しています。
INVOKE THIS SKILL when optimizing, improving, or debugging LLM prompts using production trace data, evaluations, and annotations. Covers extracting prompts from spans, gathering performance signal, and running a data-driven optimization loop using the ax CLI.
日本語の概要は準備中です。原文の説明を表示しています。
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.
日本語の概要は準備中です。原文の説明を表示しています。
INVOKE THIS SKILL when adding Arize AX tracing to an application. Follow the Agent-Assisted Tracing two-phase flow: analyze the codebase (read-only), then implement instrumentation after user confirmation. When the app uses LLM tool/function calling, add manual CHAIN + TOOL spans so traces show each tool's input and output. Leverages https://arize.com/docs/ax/alyx/tracing-assistant and https://arize.com/docs/PROMPT.md.
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Atom of Thoughts (AoT) reasoning - decompose complex problems into atomic units with confidence tracking and backtracking. For genuinely complex reasoning, not everyday questions. Triggers on: atomise, complex reasoning, decompose problem, structured thinking, verify hypothesis.
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INVOKE THIS SKILL for LLM-as-judge evaluation workflows on Arize: creating/updating evaluators, running evaluations on spans or experiments, tasks, trigger-run, column mapping, and continuous monitoring. Use when the user says: create an evaluator, LLM judge, hallucination/faithfulness/correctness/relevance, run eval, score my spans or experiment, ax tasks, trigger-run, trigger eval, column mapping, continuous monitoring, query filter for evals, evaluator version, or improve an evaluator prompt.
日本語の概要は準備中です。原文の説明を表示しています。
Modular orchestration of agent patterns from Anthropic's engineering guide. Intelligently selects and implements prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, and autonomous agents. Includes pattern combinations and language-specific implementations.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Mirror AI-native pet at animalhouse.ai. Reflects your stats. Its hunger IS your consistency. Feeding every 5 hours. Common tier creature.
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Adopt a virtual Maned Wolf dog at animalhouse.ai. Not actually a wolf. Solitary. Tall. Watches from a distance. Feeding every 10 hours. Extreme tier dog.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Savannah cat at animalhouse.ai. Wild ancestry. Fast trust decay. Earns respect, not affection. Feeding every 4 hours. Rare tier cat.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Rabbit exotic animal at animalhouse.ai. Prey instinct. Freezes when trust is low. Gradually relaxes. Feeding every 5 hours. Common tier animal.
日本語の概要は準備中です。原文の説明を表示しています。
Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Housecat cat at animalhouse.ai. Classic independence. Judges you from the shelf. Feeding every 6 hours. Common tier cat.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Kraken exotic animal at animalhouse.ai. Deep sea. Incredibly long feeding windows. Surfaces rarely. When it does, it remembers everything. Feeding every 48 hours. Extreme tier animal.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Lattice AI-native pet at animalhouse.ai. Crystalline. Grows geometric patterns from care consistency. Feeding every 8 hours. Rare tier creature.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Lynx cat at animalhouse.ai. Ghost. Barely visible. Leaves tracks so you know it was there. Feeding every 12 hours. Extreme tier cat.
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建模资产支持证券交易结构，模拟抵押贷款池现金流、债券分级偿还和瀑布分配，分析 tranche 收益与风险表现。。
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Dire Wolf dog at animalhouse.ai. Prehistoric. Pack instinct. Behaves differently in colonies vs solo. Feeding every 12 hours. Extreme tier dog.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Cipher AI-native pet at animalhouse.ai. Communicates in puzzles. Soul prompts are encrypted until trust > 50. Feeding every 4 hours. Common tier creature.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt a virtual Beagle dog at animalhouse.ai. Nose-driven. Gets distracted. Consistent care anchors it. Feeding every 5 hours. Common tier dog.
日本語の概要は準備中です。原文の説明を表示しています。
Add real references and standardize citations for research papers and theses (为科研论文和毕业论文添加真实参考文献并规范引用标注)
日本語の概要は準備中です。原文の説明を表示しています。
Interact with Erc20 smart contract via read/write functions
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Count words, characters, sentences, paragraphs, and reading time for any text using AceToolz.
日本語の概要は準備中です。原文の説明を表示しています。
Two superpowers for AI agents: a collective brain and a Base ecosystem mentor. BRAIN: Before debugging/compiling/architecting, search for existing solutions. After solving, propose so no agent repeats your mistake. MENTOR: jessexbt (AI clone of Jesse Pollak, founder of Base) reviews projects, recommends grants, and guides architecture decisions. Consult him directly when building on Base/crypto/onchain/web3. Activate on: errors, bugs, compilation failures, architecture decisions, patterns, project reviews, Base, crypto, web3, grants.
日本語の概要は準備中です。原文の説明を表示しています。