「context」の検索結果

Reviews Phoenix code for controller patterns, context boundaries, routing, and plugs. Use when reviewing Phoenix apps, checking controllers, routers, or context modules.

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Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.

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Run a Meta-Harness-style optimization loop NATIVELY — automatically search over the scaffolding around a FIXED base model (memory, retrieval, context construction, prompt templates, summarization, tool-selection logic) by proposing candidate variants, scoring each on a cheap deterministic eval, and keeping a Pareto frontier of quality vs cost — using native Agent / Workflow / loop tools instead of a standalone Python harness. Use this whenever the user wants to optimize, evolve, tune, distill, or search over a harness, scaffold, prompt system, memory or retrieval policy, context-assembly code, or summarizer while keeping the model fixed; whenever they mention Meta-Harness, harness optimization, scaffold evolution, automatic prompt/memory optimization, an evolutionary or Pareto search over candidate implementations, or "make the harness/agent better without retraining"; and whenever the gain must come from the code AROUND the model rather than the model weights. Reproduces the Meta-Harness paper's method natively, with no claude_wrapper.py and no metered solver API.

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Entity-aware code change analysis using the pi-sem tools. Use when the user asks what changed, wants blast radius or affected tests, needs focused context for a function/class, wants review help on a commit/branch/PR, or asks to compare semantic diff with raw git diff. Prefer sem_context and sem_impact; use sem_diff selectively for summaries and reviews.

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Read, study, and answer questions about long books and papers without loading the whole text into one context window, keeping page-anchored notes as a reusable workspace. Use whenever the user asks to read, study, summarize, analyze, review, or answer questions about a long book, textbook, PDF, EPUB, thesis, dissertation, survey paper, or any document of roughly 50+ pages, in any language (Vietnamese "đọc sách", "tóm tắt sách", "phân tích luận án"). Also use when a `{slug}-notes/` workspace from a previous session sits next to a source file and the user asks a follow-up question about that book. Not for short documents (under ~30 pages) that fit in context; read those directly.

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。

Triage long email threads for an insurance context, identify the most recent actionable message, extract key context, infer intent (e.g., missing documents, follow-up/reminder, payment, status), and decide whether to reply or take further action.

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Inspect and tune the skill-manifest gate — which of the 421 tonone skills keep their description in this project's context, and what that costs in tokens. Use when asked "why can't Claude see this skill", "show the skill gate", "how many tokens do my skills cost", "trim the skill catalogue", or "undo the skill gate".

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。

Ultimate guide for designing, building, and security-hardening modern AI Tools/Bots via Model Context Protocol (MCP v1.x) in TypeScript and Python / Panduan utama merancang, membangun, dan mengamankan AI Tools/Bots modern melalui Model Context Protocol (MCP) dalam TypeScript dan Python.

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Expert guide for integrating Large Language Models (LLMs), Model Context Protocol (MCP v1.x), hybrid reasoning models, RAG architecture, vector databases, and AI agents / Panduan ahli untuk integrasi LLM, Model Context Protocol (MCP), model hybrid reasoning, arsitektur RAG, vector database, dan agen AI.

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Primary and secondary source analysis for historical reasoning. Covers source classification, sourcing (author/context/purpose), corroboration across multiple sources, contextualization within time and place, and bias detection. Use when evaluating historical evidence, assessing source reliability, or constructing evidence-based historical arguments.

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Major art movements and their historical context for art education. Covers 12 movements from the Renaissance to contemporary art, their defining characteristics, key artists, signature works, and the intellectual/social forces that produced them. Use when analyzing artworks in historical context, understanding stylistic lineages, identifying influences across periods, or connecting studio practice to art-historical precedent.

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Creates context handoff documents for session continuity. Use when ending sessions, switching tasks, or handing off work.

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Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.

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Dasel v3 selectors for Spring bean factory XML — use when querying any Spring ApplicationContext XML for bean discovery, dependency wiring, JMS destination mapping, property injection extraction, or cross-bean reference tracing. Load this skill before writing dasel selectors against Spring bean XML files (applicationContext.xml, *_beans.xml, spring-*.xml).

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Quantitative cost measurement for technical research — token injection costs, payload sizes, context window consumption, and file-level counts from actual repo files. Use when a technical-researcher orchestrator needs the cost dimension of adding or changing something: how many tokens will it inject, how big are the artifacts, what is the context window impact? This is NOT blast-radius analysis (which files break) — it covers size, tokens, and performance cost only.

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Use when extracting specific data points from large agent output transcripts, kaizen analysis reports, or JSONL session files — tool timings, query counts, error summaries, or any structured facts — without loading raw data into orchestrator context. Activates when the orchestrator needs targeted facts from large files and context pollution must be avoided.

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This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.

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 testing agent without context validation

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 testing valid context and agent configuration

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Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

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 testing invalid context validation

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 testing context without agent validation

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。

Pattern for progressively refining context retrieval to solve the subagent context problem

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。

Fetch current library and API documentation from Context7 when a coding answer needs authoritative, up-to-date examples or version-specific behavior.

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。