「todo」の検索結果

Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.

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。

Activate for building or scaffolding web apps when the user is learning (e.g., todo apps, portfolios, dashboards).

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。

Turn one sentence into a task line in the right to-do list, with project, priority and optional due date. Use for "add a to-do", "remember to ...", "put this on my list", "quick task". Nothing leaves your computer.

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。

한국 채용 공고 검색 의도를 안내하고, 사용자가 제공한 공개 HTTPS 채용 페이지를 자격증명 없이 수집·정규화합니다. 잡코리아·링커리어·SK Careers·LG Careers에는 전용 추출기를 사용하고 기타 페이지는 구조화 데이터와 공개 본문을 보수적으로 처리하며, 자동 검색은 아직 TODO임을 구분합니다.

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。

Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.

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。

Crypto kategori SKILL.md — RSA, ECC, AES, hash, encoding saldırıları için gerekli araçları kurma rehberi

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。

Apply Google-style docstrings and inline comments to Python .py files. Use when documenting new functions/classes/modules, incrementally documenting touched code, or flagging rename opportunities as TODOs.

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。

Structured planning workflow for any coding task. Use at the start of every new feature, bug fix, refactor, or implementation request. Analyzes the project, asks up to 5 clarifying questions, creates a TODO.md, gets user approval, then executes task by task. Never writes code before a plan is approved.

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。

Performs structure-based virtual screening using AutoDock Vina, SMINA, GNINA (CNN scoring), and DiffDock-L hybrid workflows with explicit choice rules across rigid vs flexible docking, cross-docking vs self-docking, binding-site detection (P2Rank, fpocket), receptor preparation (PDB2PQR, PROPKA), ligand preparation (meeko, OpenBabel), and ultralarge-library screening (ZINC22, Enamine REAL). Use when screening chemical libraries against a protein target to find candidate binders, ranking docking poses, or selecting a docking workflow for a specific scenario.

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。

Progressively activates todo tests one at a time, updates implementation code until each passes (verified via Wallaby), checks off matching design doc progress, then moves to the next—following the design doc as the single source of truth.

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。

Writes the next failing test based on provided design doc and existing todo tests

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。

Central authority for Claude Agent SDK (TypeScript and Python SDKs). Covers SDK installation, authentication (Anthropic key, Bedrock, Vertex), sessions and resumption, forking sessions, streaming vs single mode, custom tools, permissions (allowedTools, disallowedTools, permissionMode), MCP integration, system prompts (CLAUDE.md, appendSystemPrompt, outputStyle), cost tracking, todo tracking, structured outputs, hosting patterns, plugins, and SDK branding guidelines. Assists with building custom agents, configuring SDK options, and troubleshooting SDK issues. Delegates 100% to docs-management skill for official documentation.

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。

5W1H Decision Framework Tool. Use for: (1) Systematic decision-making before creating todos, (2) Preventing duplicate implementation, (3) Detecting avoidance behavior, (4) Ensuring agile refactor compliance with executor/dispatcher separation

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。

Performs structure-based virtual screening using AutoDock Vina, SMINA, GNINA (CNN scoring), and DiffDock-L hybrid workflows with explicit choice rules across rigid vs flexible docking, cross-docking vs self-docking, binding-site detection (P2Rank, fpocket), receptor preparation (PDB2PQR, PROPKA), ligand preparation (meeko, OpenBabel), and ultralarge-library screening (ZINC22, Enamine REAL). Use when screening chemical libraries against a protein target to find candidate binders, ranking docking poses, or selecting a docking workflow for a specific scenario.

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。

Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.

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。

Analisa custo AWS e identifica desperdício em EC2, RDS, S3, EKS, EBS, Elastic IP, NAT Gateway e tráfego. Use quando o usuário disser "custo", "fatura", "está caro", "FinOps", "reduzir gasto AWS", "Cost Explorer", "otimizar custo". Quase todo leitura — seguro por natureza.

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。

Post-ship documentation update. Reads all project docs, cross-references the diff, updates README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md to match what shipped, polishes CHANGELOG voice, cleans up TODOS, and optionally bumps VERSION. Use when asked to "update the docs", "sync documentation", or "post-ship docs". Proactively suggest after a PR is merged or code is shipped. (gstack)

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。

Agent context budget guard and artifact compression workflow. USE FOR: image-heavy QA, compare board review, screenshot batches, large keep/todo/task manifests, long notes handoff, and md/json diff summarization. Trigger this before reading or forwarding heavy artifacts when token growth is a risk.

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。

Audit the project's technical health and identify "high-interest" debt. Load when the user asks to check code quality, find TODOs, assess project health, or prepare for a refactoring sprint. Also triggers on "technical debt audit", "where is the code messy", "assess project health", "find my hacks", or "identify tech debt". Essential for maintaining velocity in growing projects.

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。

Decompose tasks into structured, outcome-defined process entries with complexity triage. Load when user says "decompose this", "break this down", "what steps do I need", "plan this out", "what's the process for", "how do I approach this", or when any complex task needs structured execution planning. Includes a problem-understanding pass before complexity triage. Routes to `problem-to-plan` when the user needs planning deliverables (spec + plan + TODO). Does NOT replace brainstorming — brainstorming is design approval (upstream), this is execution planning (downstream).

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。

Create focused role prompts for agents in multi-agent topologies. Load when agent-builder needs role prompts for agents, or when a user asks to "create an agent prompt", "write a role prompt", "define agent identity", "write an agent role", "prompt for this agent", "write instructions for this agent", "agent persona". Scope: agent role prompts only (v1). System prompts, task prompts, and skill invocation prompts are future TODOs.

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。

Build and deploy applications when the user selects or invokes the Prisma plugin, including requests like "Build a simple Todo app and deploy it" that do not name a stack. Use Prisma Composer for new apps and Prisma Compute for deployment. Also use for explicit Composer/Compute requests, deployment diagnostics, and recovering Composer deployments. Does not cover unrelated ORM or database administration.

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。

Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.

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。

Performs structure-based virtual screening using AutoDock Vina, SMINA, GNINA (CNN scoring), and DiffDock-L hybrid workflows with explicit choice rules across rigid vs flexible docking, cross-docking vs self-docking, binding-site detection (P2Rank, fpocket), receptor preparation (PDB2PQR, PROPKA), ligand preparation (meeko, OpenBabel), and ultralarge-library screening (ZINC22, Enamine REAL). Use when screening chemical libraries against a protein target to find candidate binders, ranking docking poses, or selecting a docking workflow for a specific scenario.

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。