'code graph' 검색 결과

Build AI agents with LangGraph by connecting processing steps into a graph. Define shared state, conditional paths, tool calls, saved checkpoints, and human review points to create workflows that retain information as they run.

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• Building an agent that calls tools in a loop
• Sharing accumulated findings between multiple agents
• Routing requests to different processing paths

Query an indexed code graph, a database of code relationships, to find callers, dependencies, model associations, and call paths. Use the results to understand which components may need attention before changing a function or model.

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• Find callers before changing a function
• Find serializers affected by model changes
• Trace call paths between functions

Work through unresolved review comments across dependent PRs managed with Graphite. Review branches from the base upward, propose fixes or replies for approval, test changes, and commit each branch locally while preserving stack dependencies.

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• Review unresolved comments across a Graphite stack
• Fix review findings with regression tests
• Explain findings already addressed in a later PR

Assess API business workflows for flaws that automated scanners can miss. The skill examines skipped steps, simultaneous transactions, authentication tokens, GraphQL, and webhooks, helping testers document weaknesses and their financial or operational impact during authorized assessments.

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• Reviewing order and payment workflow integrity
• Testing concurrent coupon redemption or transfers
• Assessing JWT validation and GraphQL controls

Generate and edit transparent PNG ornaments, game sprites, emblems, and interface graphics with built-in Codex image generation. Includes transparency checks, saved prompts, and optional integration into an existing project with verified asset copies.

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• Create transparent PNG decorations for game interfaces
• Generate standalone sprites and emblems
• Check PNG transparency and gaps within artwork

Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts. Use when exploring code, understanding architecture, finding functions/types, analysing dependencies, searching database schemas or API specs, or when socraticode/codebase_search tools are available. Activates when the user asks about code structure, wants to find where a feature lives, or needs to understand how code is organised.

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Build, refresh and query a deterministic code knowledge graph to cut orientation-token cost. Triggers: knowledge graph, graphify, code graph, god nodes, orientation cost, map the codebase, what connects, callers of, blast radius.

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Use when the user asks about Vibe Motion, motion graphics, kinetic typography, animated text, brand animations, logo animations, infographic animation, presentation animation, data-driven video, or prompt-to-motion-graphic workflows. Vibe Motion is fundamentally different from video generation — it creates deterministic code-based motion graphics, not AI-predicted pixel sequences. Use this when the text/logo must stay perfectly crisp and editable (code). For a cinematic/kinetic AI-generated video ad built from a storyboard (pixel render, native audio), use higgsfield-motion-design instead.

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Integrate ManagedCode.Orleans.Graph into an Orleans-based .NET application for grain-call policy enforcement, deadlock detection, live-call telemetry, and Mermaid graph diagnostics. USE FOR: ManagedCode.Orleans.Graph integration; allowed grain transitions; Orleans call filters; live policy graphs; reviewing Orleans call-cycle risk. DO NOT USE FOR: generic graph data modeling or traversal unrelated to Orleans calls. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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Group related code files by analyzing a graph of their connections with ruvector. Review group assignments, community labels, and links between files to understand code organization and investigate files that stand apart.

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• Understanding groups of related code files
• Reviewing connections between code groups
• Investigating files that stand apart

Connect syncable entity components within Twenty server internals and expose them through GraphQL, an API query interface. It guides NestJS module registration, business services, response data conversion, and consistent handling of validation and execution errors.

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• Register builders, validators, and action handlers in NestJS modules
• Connect entity creation to validation and migration execution
• Expose entities through GraphQL with response data conversion

Use Codex to build Python command-line tools for applications with graphical interfaces. Analyze source code, add commands, test against the actual software, validate packaging and documentation, and discover tools already generated or installed.

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• Build a command-line tool from application source code
• Extend an existing tool with more commands
• Test behavior against the actual application

Turn notes, prose, code, schemas, or tables into editable diagrams, including flowcharts, architecture diagrams, and schedules. Choose Mermaid, Graphviz DOT, PlantUML, or SVG to suit the content, with image or PDF rendering when needed.

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• Turn business procedures into flowcharts
• Diagram system architecture and dependencies
• Visualize database relationships and interactions

Choose how an API, the interface software uses to exchange data, should work. Covers REST, GraphQL, and tRPC selection, consistent responses, pagination, versioning, authentication, request limits, documentation, and security review considerations.

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• Choosing between REST, GraphQL, and tRPC
• Standardizing API responses, errors, and pagination
• Planning authentication, request limits, and versioning

Test and debug REST and GraphQL APIs using curl, httpie, Postman collections, or scripted tests. Check authentication, invalid inputs, pagination, and response details to identify failures that a successful status code alone may miss.

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• Checking authentication and access permissions
• Testing invalid inputs and boundary conditions
• Debugging failed HTTP requests

Turn papers, code, experiment logs, and notes into an ARA, a structured research package for AI agents. Organizes claims, evidence, verification plans, code stubs, and research decisions, then checks coverage and consistency across the generated files.

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• Organize a paper and its code into a research package
• Link research claims to tables, figures, and verification plans
• Preserve failed approaches and research decisions

Make AI truly understand large codebases: for multi-repository, multi-microservice projects that have evolved over years, run architecture reverse-engineering + a Graph RAG graph + multi-language AST to compress a huge codebase into a structured knowledge base, where every conclusion traces back to a code line and every relation carries a confidence label. Suited to projects with 10+ repositories or microservices that AI cannot understand globally by reading the code directly. Triggers: architecture analysis, architecture reverse-engineering, codebase knowledge base, code-to-knowledge, architecture wiki, large multi-repo codebase. Loaded on demand by the teamai discovery stub.

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Set up, index, and manage SocratiCode codebase indexing. Use when the user wants to index a project, check infrastructure health, start/stop file watching, configure context artifacts, troubleshoot indexing issues, manage the code graph, or any SocratiCode administrative task. Activates when the user mentions indexing, setting up search, SocratiCode infrastructure, or managing the codebase index.

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Install Codex themes and Codex skin packs with npx skills. Use this skill when a user wants Codex to find, download, validate, apply, switch, remix, or restore Codex desktop themes such as caishen-readable, caishen-lite, mythic-guardian-noir, global-founder-bright, export-night, or caishen-max. It stages verified public-safe theme packs from ChannelerH/codex-skin-packs, checks theme.json/background.png, preserves the native Codex layout, avoids private workspace screenshots, and provides restore guidance.

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Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.

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An infographic skill for AI agents — works inside Claude Code, Codex, Hermes, OpenClaw, Cursor, and any agent host that loads skills. Create professional infographics as self-contained HTML files with PNG exports. Use when the user asks to create, design, generate, build, or make an infographic, data visualization, visual explainer, chart poster, cheatsheet, or pocket guide. Trigger phrases include "make this visual", "turn this into a graphic", "visualize this data", "infographic for X", "cheatsheet for X", or when the user provides structured data (tokenomics allocations, ecosystem/partner lists, timelines, comparisons, step-by-step processes) AND asks for a visual output. Covers tokenomics, ecosystem overviews, game overviews, cheatsheets, airdrop guides, comparisons, and process flows. Do NOT trigger for plain text answers, markdown tables, bulleted summaries, questions asking for advice or explanations about a topic (even when the topic is tokenomics, ecosystem, vesting, etc.), inline chat diagrams, or data processing with no visual output requested. The signal is "asks for a visual", not "mentions a keyword".

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코드의 함수와 호출 관계, 실행 흐름을 연결된 도표로 만들어 브라우저에서 탐색할 수 있게 합니다. Cloudflare를 통한 원격 공유도 지원합니다.

• 처음 접하는 코드의 전체 구조 파악
• 함수 호출과 실행 흐름 확인
• 조작 가능한 코드 도표의 원격 공유

Ask questions about a codebase using a knowledge graph, a map of its components and relationships. Get explanations tied to specific files, functions, dependencies, and architectural layers, with warnings when the graph may be outdated.

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• Understanding how a feature works
• Finding callers and dependencies
• Locating code related to a concept

Launch the Understand Anything web dashboard to explore an existing codebase knowledge graph, a map of its structure and relationships. Open the current project or a specified directory and receive the local access URL.

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• Explore an analyzed codebase visually
• Open the current project's dashboard
• View graph data from another project directory