Audit immutable mathematical artifacts through isolated evidence-focused review lenses
原文の言語: 英語
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SkillsMP は a5c-ai/babysitter から 2,085 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。
このプロンプトをコピーして、使用中の AI アシスタントに送ってください。
このリポジトリの Agent Skills のインストールを手伝ってください:https://github.com/a5c-ai/babysitter
まずソース、SKILL.md、関連ファイルを確認し、利用可能な Skill を一覧にして選ばせてください。選択後、対象の Skill ディレクトリを関連ファイルごと現在のプロジェクトにインストールし、必要なファイルが揃っていることを確認してください。収集済み skill 2,085 件中 40 件を表示しています。
Audit immutable mathematical artifacts through isolated evidence-focused review lenses
原文の言語: 英語
Run fail-closed deterministic validation for mathematical and LaTeX artifacts
原文の言語: 英語
Maintain durable proof-obligation registries with profile coverage and semantic ledgers
原文の言語: 英語
Structured pull-request review across six fixed dimensions — correctness, clarity, consistency, coverage, complexity, and change-scope — producing a per-dimension verdict plus severity-tagged findings. Use when reviewing a PR diff or running the collaboration…
原文の言語: 英語
The shared brief-to-prompt convention behind the media point tasks — parse the brief, select the model or tool, construct the prompt, then QA the output against the brief. Use when prompting for image, video, speech, or music generation or editing.
原文の言語: 英語
Canonical kip knowledge-store patterns for any process or agent: recall prior facts before work, assert decisions/gate outcomes/rejections as structured facts after work, resolve entities with explicit --model sonnet, and invoke the CLI Windows-safely via…
原文の言語: 英語
Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up…
原文の言語: 英語
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real…
原文の言語: 英語
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there",…
原文の言語: 英語
JavaScript and TypeScript documentation generation using JSDoc and TSDoc. Parse source code, generate API documentation, validate coverage, and integrate with TypeDoc for comprehensive developer documentation.
原文の言語: 英語
Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.
原文の言語: 英語
Zero-knowledge circuit development using Circom and Noir languages. Supports constraint optimization, ZK-friendly cryptographic primitives, proof generation (Groth16, PLONK), and Merkle tree implementations.
原文の言語: 英語
Expert skill for developing and validating timing constraints. Writes SDC (Synopsys Design Constraints) and XDC files for FPGA timing closure.
原文の言語: 英語
Use when adding a new agent harness (CLI-based coding agent) adapter to adapters. Covers capability audit, adapter scaffold, session parsing, auth detection, hooks/plugins wiring, tests, and docs.
原文の言語: 英語
Storybook integration for UI component documentation. Configure docs addon, generate component documentation from stories, write MDX documentation, and integrate with design systems.
原文の言語: 英語
Greet the user with a friendly message
原文の言語: 英語
A test skill for the compiler
原文の言語: 英語
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
原文の言語: 英語
Report babysitter orchestration run status to Accomplish AI desktop app via file-based IPC
原文の言語: 英語
Execute via @babysitter. Use this skill when asked to babysit a task, do anything that is structured process-driven (even a loop) or whenever it is called explicitly. (babysit, babysitter, with a process, orchestrate, orchestrate a run, workflow, loop until,…
原文の言語: 英語
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
原文の言語: 英語
Minimal, pattern-matching code output. Write the least code that satisfies requirements. Match existing project patterns. Use Write/Edit tools only.
原文の言語: 英語
Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.
原文の言語: 英語
Root cause analysis frameworks including log-first investigation, git bisect correlation, and pattern-based diagnosis with confidence scoring.
原文の言語: 英語
Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.
原文の言語: 英語
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
原文の言語: 英語
Strict RED-GREEN-REFACTOR cycle enforcement. Tests are never skipped or deferred. Run mode only, never watch mode. Exit code evidence mandatory.
原文の言語: 英語
Evidence requirement enforcement ensuring all claims are backed by logs, test results, or exit codes. Zero = success, non-zero = failure. No guessing allowed.
原文の言語: 英語
Git-backed state management for safe rollback. Create and restore checkpoints with tagged commits and metadata tracking.
原文の言語: 英語
6-agent parallel code review orchestration covering architecture, security, performance, testing, quality, and documentation dimensions with weighted scoring.
原文の言語: 英語
Automatic codebase indexing for invisible context injection. Catalogs project structure, file types, entry points, dependencies, and test layout.
原文の言語: 英語
PreToolUse protection blocking sensitive file access across 195+ patterns in 12 categories with bash pipeline analysis and multi-tool ignore support.
原文の言語: 英語
Session-scoped hook lifecycle management with enable/disable/status controls, execution profiling, and color-coded performance alerts.
原文の言語: 英語
Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.
原文の言語: 英語
Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.
原文の言語: 英語
6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.
原文の言語: 英語
Capture raw thoughts with automatic domain classification and vault routing
原文の言語: 英語
Generate personalized verified news briefs with 7-day freshness and 95%+ source accuracy
原文の言語: 英語
Build structured knowledge frameworks from scattered vault notes with source attribution
原文の言語: 英語
Process meeting recordings and transcripts into decisions, action items, and team dynamics
原文の言語: 英語