Rebuild the vault dependency graph (_graph.md) via the deterministic generator script. /graph forces a full rebuild; /graph last (run after every /sync) rebuilds only if the vault changed; /graph [N] is treated as last. The generator reads the vault and writes _graph.md directly, so the file never streams through a model response.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
jameswong2011/InvestmentVault☆ 32026년 10월 16일 업데이트
Rebuild the vault dependency graph (_graph.md) via the deterministic generator script. $graph forces a full rebuild; $graph last (run after every $sync) rebuilds only if the vault changed; $graph [N] is treated as last. The generator reads the vault and writes _graph.md directly, so the file never streams through a model response.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
jameswong2011/InvestmentVault☆ 32026년 10월 16일 업데이트
Choose between REST, GraphQL, and tRPC based on who uses an API and how it is deployed. Define consistent responses, pagination, authentication, and versioning, supported by concrete request examples and failure cases.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Choose an API style for known clients
- Standardize response and error formats
- Design pagination for changing data
sickn33/agentic-awesome-skills☆ 4.8만2026년 10월 19일 업데이트
Build vector search that considers both semantic similarity and patterns in how items connect. Use graph features to explore structure in embeddings, numerical representations of content, and compare retrieval results with conventional similarity search.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Investigate structure missed by cosine similarity
- Include contextual roles in RAG retrieval
- Compare graph-based and cosine search results
sickn33/agentic-awesome-skills☆ 4.8만2026년 10월 19일 업데이트
Plan and build AI agents through selected stages of design, implementation, tool integration, memory, and evaluation. The workflow points to specialized skills for single agents, coordinated agent teams, and stateful workflows using CrewAI or LangGraph.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Designing an autonomous AI agent
- Building a team of agents with distinct roles
- Creating stateful workflows with LangGraph
sickn33/agentic-awesome-skills☆ 4.8만2026년 10월 19일 업데이트
Assess authorized APIs through a ten-stage workflow covering endpoint discovery, authentication, access permissions, input handling, and request limits. Collect reproducible evidence and turn findings into regression checks that can run in a development pipeline.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Review API authentication and access permissions
- Assess GraphQL and WebSocket security
- Check request limits and unintended data exposure
zhaoxuya520/reverse-skill☆ 4.3만2026년 9월 22일 업데이트
Design AI applications with LangChain 1.x and LangGraph, libraries for coordinating language models and workflows. Build agents that use external tools, manage conversation history and saved state, process documents, and support tracing and testing.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Build an AI agent that calls external tools
- Manage conversation history and saved execution state
- Create document processing and retrieval workflows
wshobson/agents☆ 4.1만2026년 10월 20일 업데이트
Review application permissions and consent audit logs in Microsoft Entra ID using Microsoft Graph API. Identify overly broad access, unverified publishers, and suspicious consent patterns, then produce a JSON risk report with remediation recommendations.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Investigating suspicious application consent
- Reviewing apps with broad mail or file access
- Tracing consent events through audit logs
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Explore code structure and history using an index of code relationships and meaning-based search. Trace calls, assess change impact, find likely bug locations, generate architecture reports, and review pull requests for risk and conflicts.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Tracing function calls and change impact
- Investigating code locations related to a GitHub issue
- Generating architecture reports and class diagrams
QwenLM/qwen-code☆ 2.9만2026년 10월 20일 업데이트
Turn source text and data into infographics, images that explain information visually. The skill recommends combinations of 21 layouts and 22 visual styles, then generates images with a chosen language and aspect ratio.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Illustrating a process or timeline
- Comparing products across several criteria
- Turning metrics into a visual dashboard
JimLiu/baoyu-skills☆ 2.7만2026년 9월 11일 업데이트
Explore relationships between functions and files using a prebuilt code graph, a map of code dependencies. Trace bugs, inspect callers and execution paths, and assess the impact of refactoring or proposed changes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Explore callers and dependencies in unfamiliar code
- Trace a bug across multiple files
- Assess the impact of renaming or removing code
handsontable/handsontable☆ 2.2만2026년 10월 21일 업데이트
Apply OpenClaw’s brand identity to documents, presentations, social graphics, and launch materials. The skill guides color, typography, logo use, imagery, and writing tone, with checks for contrast, cropping, and text readability.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Align documents and presentations with the brand
- Unify social graphics and launch materials
- Review logo use, typography, and colors
openclaw/clawhub☆ 9.5천2026년 10월 20일 업데이트
Split a large commit or branch into a Graphite PR stack, a series of dependent review requests. Group changes by purpose, preserve changes that must stay together, and verify that each lower layer builds and passes tests independently.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Splitting a large PR by the decisions reviewers need to assess
- Checking whether a refactor can be separated safely
- Verifying that a lower PR builds and passes tests on its own
maximhq/bifrost☆ 9천2026년 10월 20일 업데이트
Distribute edits across the appropriate branches in a Graphite stack, a chain of dependent branches. Use manual grouping when automatic absorption misplaces changes, then update commits, resolve restack conflicts, and verify the affected branches locally.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Splitting working changes across stacked branches
- Moving a fix to the branch that owns the feature
- Assigning new files that automatic absorption skips
maximhq/bifrost☆ 9천2026년 10월 20일 업데이트
Build a graph of functions and calls across multiple programming languages to investigate entry points, paths to sensitive operations, and potential impact. Use the results to prioritize security reviews and connect external findings with source code.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Tracing call paths from entry points to sensitive functions
- Prioritizing code for a security audit
- Connecting calls across language and RPC boundaries
trailofbits/skills☆ 7.7천2026년 10월 20일 업데이트
Choose automatic layouts for diagrams made of connected nodes. Match algorithms and tools to the graph structure, then plan connector routes, overlap handling, and stable placement so readers can follow relationships and edits remain predictable.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Reducing crossings in a dependency graph
- Routing ERD connectors around tables
- Choosing layouts for trees and networks
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
hashgraph-online/awesome-codex-plugins☆ 1.4천2026년 10월 20일 업데이트
Generates, normalizes, and converts bedGraph signal tracks (4-column chrom/start/end/value, 0-based half-open) with bedtools genomecov, deepTools bamCoverage/bamCompare/bigwigCompare, bedtools unionbedg, and UCSC bedGraphToBigWig. Covers why a raw coverage bedGraph is not comparable across samples until normalized, the CPM/RPKM/BPM/RPGC normalization menu and the conserved-total assumption that makes them wrong under a global perturbation, the strict sorted-non-overlapping-chrom.sizes bedGraphToBigWig contract that silently corrupts a bigWig, effective-genome-size selection, and bin-size aliasing. Use when building or normalizing a coverage/signal track from a BAM, comparing tracks across samples or conditions, converting bedGraph to a browser-ready bigWig, or diagnosing a track that looks plausible but reports wrong heights.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
GPTomics/bioSkills☆ 1.2천2026년 8월 15일 업데이트
Build and analyze pangenomes for prokaryotes (Panaroo, PPanGGOLiN, PEPPAN, GET_HOMOLOGUES, anvi'o pangenomics) and eukaryotes (Minigraph-Cactus, PGGB, vg pangenome graphs). Implement Tettelin core/accessory/cloud genome decomposition (Tettelin 2005), Heap's law open/closed pangenome modeling, gene presence/absence GWAS (Scoary, pyseer), pangenome graph variant calling (vg, PanGenie), and structural-variation graph indexing. Use when assembling species- or genus-level pan-gene catalogs, separating core from accessory/shell/cloud genes, testing gene-content associations with phenotypes, building pangenome graphs from haplotype-resolved assemblies, calling SVs from pangenome graphs, or selecting between bacterial-pangenome and eukaryotic-pangenome workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
GPTomics/bioSkills☆ 1.2천2026년 8월 15일 업데이트
Design or evaluate a brand visual identity system covering logo, color, typography, imagery direction, iconography, and motion principles. Use this skill whenever the user wants to design a logo, build a visual identity, define brand colors, choose brand typography, develop iconography, plan brand imagery, or evaluate an existing identity for cohesion. Triggers on logo design, brand identity, visual identity, brand mark, wordmark, monogram, color palette, brand colors, brand typography, type system, iconography, brand imagery, motion design, brand system, identity system. Also triggers when the user has a brand direction approved and now needs the visual artifacts that express it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
rampstackco/claude-skills☆ 9762026년 10월 19일 업데이트
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
managedcode/dotnet-skills☆ 4902026년 10월 20일 업데이트
Provider-independent motion graphics direction for AI agents producing title sequences, lower thirds, explainer graphics, product UI overlays, social ads, kinetic typography, diagrams, data callouts, brand films, and video post. Use when planning, prompting, storyboarding, specifying, implementing, reviewing, or QAing motion graphics across live footage, generated video, UI capture, data visualization, brand systems, typography, accessibility, claim integrity, runtime handoff, and iteration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
calesthio/generative-media-skills☆ 2082026년 7월 14일 업데이트
Graphile Worker expert for high-performance PostgreSQL job queues with trigger-based job creation and millisecond job pickup via LISTEN/NOTIFY. Use when "graphile worker, postgres trigger job, listen notify queue, postgraphile worker, database trigger queue, transactional job, graphile-worker, postgresql, triggers, listen-notify, job-queue, postgraphile, high-performance, supabase" mentioned.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
omer-metin/skills-for-antigravity☆ 1682026년 1월 22일 업데이트
Route HugeGraph MCP structured graph query tasks to stable read-only tools. Use when the user asks graph questions, asks to generate Gremlin, provides Gremlin to explain, or needs read-only graph exploration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
apache/hugegraph-ai☆ 1442026년 10월 18일 업데이트