「agent」の検索結果

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

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。

Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.

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Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.

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。

Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static/dynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.

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15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

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Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).

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。

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

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投行 strategic-alternatives pitch book — trading comps / precedent transactions / valuation football field / DCF sensitivity / 战略选项矩阵 / 流程建议。改写 assets/template.html 保留 IB-specific chrome / disclosure bands / source labels。用于 Board / sell-side 讨论材料。**不是** VC 融资 deck。工作流改自 Anthropic financial-services Pitch Agent (Apache-2.0)。

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Query PostgreSQL with pg and navigate Openrind Shell's primary FUSE or compatibility workspace; /db is custom-agent-only.

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。

Canonical design token registry — colors, typography, spacing, sizing, border radius, shadows, z-index, breakpoints, motion, and focus tokens. Used by ui-best-practices rules and all agents that implement or review UI components. Includes CSS variable template for quick project setup.

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Use when the user, inside an Orca terminal, asks Hermes to resolve, dispatch, orchestrate or supervise GitHub issues with Orca workers — 'orquestrar as issues 12, 15 e 18 no Orca', 'despachar as issues com label ready', 'coordenar workers do Orca para estas issues', or to resume such a Run after compaction. Do NOT use for a single unsupervised hand-off to another agent (Orca CLI directly), for working on one issue in this session (pwdev-feat feat-loop), or outside Orca.

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。

Use when the user wants the project instructions file generated or updated from the detected stack and conventions — 'gerar o arquivo de instruções do projeto', 'criar convenções do projeto', 'setup governance', 'gerar AGENTS'. Writes the shared instructions file read by Claude Code, Codex, Hermes and OpenCode. Do NOT use to analyze the codebase in depth (feat-map) or to initialize the workspace (feat-init).

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Use when the user wants to execute an existing pwdev-feat action plan — 'executar o plano user-crud', 'exec latest', 'rodar o plano', 'retomar a execução'. Dispatches the executor (subagent when the runtime has one, inline otherwise) in IMPLEMENT or REPORT mode, handles NEEDS_ADVICE with the advisor, and supports --resume. Do NOT use to create plans (feat-feature, feat-backend, feat-frontend, feat-test, feat-review) or for tasks without a plan (feat-quick).

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When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing-context.md` that all other skills reference for product, audience, and positioning context.

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Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

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Orchestrates legacy AEM (6.x, AMS, on-prem) to AEM as a Cloud Service migration using BPA CSV or cache, CAM/MCP target discovery, and one-pattern-per-session workflow. Use for BPA/CAM findings, Cloud Service blockers, or fixes for scheduler, ResourceChangeListener, replication, EventListener, OSGi EventHandler, DAM AssetManager, HTL data-sly-test lint. OSGi configs → Cloud Manager — scan ui.config, .cfg.json, secrets, $[secret:]/$[env:] — agent follows references/osgi-cfg-json-cloud-manager.md when prompted. Transformation steps live in the best-practices skill—read it and the right references/ modules before editing code.

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Publish, deactivate, and delete AEM content programmatically via the Cloud Service Replication API (com.day.cq.replication). Covers single-path and bulk activation, preview-tier targeting with AgentFilter, synchronous/async options, ReplicationStatus checks, permission validation, workflow process steps, and replication event handling. Use when the user needs to publish pages, activate or deactivate content, check replication status, build workflow steps that replicate content, listen to replication events, query batch publication state, or work with Replicator, ReplicationOptions, or ReplicationStatusProvider in AEM Cloud Service.

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Single entry point for all AEM 6.5 LTS Replication skills. Covers configuring replication agents, activating/deactivating content, using the Replication API programmatically, and troubleshooting distribution issues for Adobe Experience Manager 6.5 LTS.

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Use only when the user explicitly types `/orchestrate goal` to decompose a large task, spawn a tree of parallel cloud-agent workers/subplanners/verifiers via the Cursor SDK, and collect structured handoffs; do not invoke autonomously.

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Microsoft Pragmatic Rust Guidelines for implementing, reviewing, and documenting idiomatic Rust. Use when working on Rust APIs, error handling, unsafe code, concurrency, async code, performance, testing, documentation, or agent-facing design.

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Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools.

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Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.

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Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.

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Design, critique, set, create, activate, or run durable Codex goals for persistent or long-running objectives. Use when the user says "set a goal", "start a goal", "activate goal mode", "persistent goal", "long-running objective", "goal tree", or asks for a goal with verifiers, durable state, approval gates, completion proof, bounded delegation, or parent/child subagent goals.

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。