스킬 레이더 · GITHUB
실제 사용량으로 검증된 유용한 Agent Skills.
공개 저장소의 검증된 Skills를 기능, 패키지 구성, 설치 수, 출처 근거에 따라 비교할 수 있습니다.
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- Skills
- 5,771
- 저장소
- 824
- 최근 동기화
- 2026. 9. 8.
base44base44-cli
The base44 CLI is used for EVERYTHING related to base44 projects: resource configuration (entities, backend functions, ai agents), initialization and actions (resource creation, deployment). This skill is the place for learning about how to configure resources. When you plan or implement a feature, you must learn this skill
- 설치 수
- 1
- GitHub Stars
- 89
- 업데이트
- 8월 31일
base44base44-remote-dev
- Develop a Base44 app remotely from your own coding agent (Claude Code, claude.ai, or any MCP client) by connecting it to the Base44 sandbox. Cloud agents connect over MCP; local agents can connect over MCP or drive the same sandbox with the base44 sandbox CLI subcommands (the CLI uses shorter names — e.g. readfile is sandbox read, listdirectory is sandbox ls, runcommand is sandbox run). Covers connecting/ authenticating, the available sandbox tools (runcommand, readfile, writefile, editfile, grep, listdirectory, createcheckpoint, getapppreviewurl, getappstatus, listuserapps, and the connector tools listconnectors / initiateconnectorconnection), the edit→preview→verify loop, how changes persist, builder/external-agent concurrency, the in-editor "Send to Coding Agent" button + onboarding README URLs, and tips like reading the Vite dev-server logs. Triggers on "develop my Base44 app remotely", "connect Claude Code to Base44", "bring my own agent", "edit a Base44 app over MCP", "Base44 sandbox MCP", or "Send to Coding Agent".
- 설치 수
- 1
- GitHub Stars
- 89
- 업데이트
- 8월 31일
base44base44-sandbox
Develop a Base44 app remotely inside Base44's cloud sandbox using your own agent — no local checkout and no deploy/push commands. The implementation is remote: writing a resource file into the sandbox is what ships it (backend functions, entities, and agents all auto-sync from the file you write), and OAuth connectors are set up against the remote app via MCP tools or the projectless base44 connectors CLI. This skill is the place for learning what you can author in the sandbox, how backend functions, entities, and agents are structured, and how to connect a connector without a local filesystem. Triggers on 'develop my Base44 app remotely', 'no local files', 'cloud sandbox', 'create an entity/agent remotely', 'connect a connector remotely', 'bring my own agent', or any work editing a Base44 app inside a sandbox.
- 설치 수
- 1
- GitHub Stars
- 89
- 업데이트
- 8월 31일
base44base44-sdk
The base44 SDK is the library to communicate with base44 services. In projects, you use it to communicate with remote resources (entities, backend functions, ai agents) and to write backend functions. This skill is the place for learning about available modules and types. When you plan or implement a feature, you must learn this skill
- 설치 수
- 1
- GitHub Stars
- 89
- 업데이트
- 8월 31일
base44base44-troubleshooter
Troubleshoot production issues using backend function logs and workflow run history. Use when investigating app errors, debugging function calls, diagnosing why a scheduled job or automation failed, or diagnosing production problems in Base44 apps.
- 설치 수
- 1
- GitHub Stars
- 89
- 업데이트
- 8월 31일
hyperfx-aiopenai-ads
Plan and manage OpenAI Ads (ChatGPT ads) campaigns end-to-end via the Hyper MCP — API-key auth, account discovery, geo targeting, image upload, chatcard and product-feed creatives, custom audiences, conversion tracking, status flow, and insights, with integer-micros money values. Use when the user wants to launch OpenAI ads, ChatGPT ads, chat card ads, manage OpenAI ad groups or audiences, or pull OpenAI Ads insights.
- 설치 수
- 1
- GitHub Stars
- 83
- 업데이트
- 8월 25일
othmanadicodebase-knowledge-builder
Study unfamiliar codebases and produce evidence-backed knowledge artifacts. Use for repository orientation, architecture mapping, subsystem tracing, onboarding, or codebase documentation.
- 설치 수
- 1
- GitHub Stars
- 18
- 업데이트
- 8월 30일
cli-agent-speccli-agent-audit
Autonomous end-to-end CLI audit pipeline. Downloads and installs the CLI non-interactively, onboards it, scores proactive readiness, evaluates all Critical failure modes, and generates the full report bundle (dev, agent-dev, runtime, issues, index, LinkedIn post). Single command, zero human steps required in the happy path.
- 설치 수
- 1
- GitHub Stars
- 9
- 업데이트
- 8월 7일
cli-agent-speccli-agent-diagnose
Classify a failed agent CLI tool call against the CLI Agent Spec §N failure taxonomy. Given a failed command with stdout, stderr, and exit code, identifies the matching failure mode, returns an actionable workaround, and produces a memory string and skill patch to prevent recurrence. Use when a CLI invocation fails and you need to understand why and how to work around it.
- 설치 수
- 1
- GitHub Stars
- 9
- 업데이트
- 8월 7일
cli-agent-speccli-agent-evaluate
Evaluate a CLI tool against a single CLI Agent Spec failure mode. Runs the failure mode's check, scores 0–3, and provides an applicable agent workaround if the score is below 3. Use this for targeted single-failure-mode evaluation. For multi-failure-mode evaluation use cli-agent-evaluate-batch.
- 설치 수
- 1
- GitHub Stars
- 9
- 업데이트
- 8월 7일
cli-agent-speccli-agent-evaluate-batch
Evaluate a CLI tool against multiple CLI Agent Spec failure modes in one run. Accepts a severity filter, part number, or an explicit list of §N identifiers. Skips already-evaluated failure modes (resumable). Emits a scorecard table when done.
- 설치 수
- 1
- GitHub Stars
- 9
- 업데이트
- 8월 7일
cli-agent-speccli-agent-implement
Guide implementing the CLI Agent Spec specification in a CLI framework or tool. Audits command naming against Unix conventions, walks through requirements tier-by-tier (REQ-F → REQ-C → REQ-O), generates language-specific schema types, and verifies acceptance criteria. Use when building or extending a CLI framework to support AI agent orchestration.
- 설치 수
- 1
- GitHub Stars
- 9
- 업데이트
- 8월 7일
cli-agent-speccli-agent-onboard
Onboard a CLI tool for agent evaluation — reads agent docs, detects OS, runtime, toolchain, and binary, discovers non-interactive flags and config. Saves the result as the CLI environment profile for reuse by cli-agent-evaluate and other skills. Run once per CLI before starting evaluations.
- 설치 수
- 1
- GitHub Stars
- 9
- 업데이트
- 8월 7일
cli-agent-speccli-agent-readiness
Score how proactively agent-ready a CLI is across five dimensions — documentation quality, self-description, pre-built integrations, setup reproducibility, and workflow coverage. Complements cli-agent-evaluate-batch (which scores what breaks) with a positive readiness score (what the CLI provides). Requires CLI access and an environment profile from cli-agent-onboard.
- 설치 수
- 1
- GitHub Stars
- 9
- 업데이트
- 8월 7일
cli-agent-speccli-agent-report
Generate a perspective-specific report from existing CLI evaluation findings. Five modes — dev (fix list for CLI authors), agent-dev (integration guide for agent builders), runtime (operational brief for AI agents), issues (concrete bugs and gaps an agent will hit), all (runs all four, saves to files, generates an index and a LinkedIn post). Requires findings from cli-agent-evaluate or cli-agent-evaluate-batch.
- 설치 수
- 1
- GitHub Stars
- 9
- 업데이트
- 8월 7일
cli-agent-specvalidate-links
Validate all cross-links in the CLI Agent Spec specification — broken file links, missing schema sections, and schema↔requirement symmetry. Use when files have been added or edited, or to check the project is internally consistent.
- 설치 수
- 1
- GitHub Stars
- 9
- 업데이트
- 8월 7일
islambaraka90fintech-algorithms
Compute market-data, trading and quantitative analytics with the fintech-algorithms npm package — 675 zero-dependency TypeScript algorithms covering statistics and financial-mathematics foundations (mean, median, percentiles, standard deviation, correlation, regression, distributions, z-scores, log returns, volatility, drawdown, Sharpe, value at risk), technical indicators (RSI, MACD, moving averages, Bollinger Bands, ATR, OBV, Stochastic), candlestick and chart patterns, market breadth, bar construction from tick data, OHLC validation and cleaning, corporate actions, index and benchmark construction, market microstructure, matching engines, execution and TCA, statistical time series, credit risk and probability of default, classifier and score validation (ROC, AUC, Brier, calibration), on-chain metrics and EPS analytics. Use when asked to analyse a price series, compute a statistic or summary, compute or explain an indicator, detect a candlestick or chart pattern, build bars from ticks, validate or clean market data, score or validate a model, wire up a market-data provider, or when writing code that needs any of these calculations to be correct rather than approximated.
- 설치 수
- 1
- GitHub Stars
- 4
- 업데이트
- 8월 18일
apidojo-ioextracting-youtube-comments-for-research
Extracts and analyzes YouTube comments for audience research using apidojo's YouTube scraper on Apify. Triggers when the user asks to: extract YouTube comments for research, analyze what viewers say in YouTube comments, scrape comments from a YouTube video for sentiment analysis, find common questions in YouTube comments, research audience feedback from YouTube video comments, extract top comments from a YouTube channel for audience insights, or analyze viewer reactions from YouTube comment sections. Returns comment text, likes on comment, reply count, commenter username, and timestamp. Ideal for content creators, brand researchers, product teams, and audience insight analysts.
- 설치 수
- 1
- GitHub Stars
- 0
- 업데이트
- 5월 13일
fetcher-shfetcher
- Shared payment and setup skill for fetcher.sh, a pay-per-call web-data API covering Twitter/X, TikTok, Instagram, YouTube, Reddit, Google Search, Google Maps, Google News, Google Play, the App Store, and Yelp. Use this skill whenever a task needs a fetcher.sh API key, a credit top-up, an x402 micropayment, MCP server configuration, or an explanation of the { status, message, data } response envelope and error codes — before or alongside any of the per-service skills (twitter-api, x-api, tiktok-api, instagram-api, youtube-api, reddit-api, google-search, google-maps, google-news, google-play, app-store, yelp). Also use it when the user asks how to pay with USDC, fund an agent wallet, set up credits, mint or rotate an API key, or connect an MCP client to fetcher.sh.
- 설치 수
- 1
- GitHub Stars
- 0
- 업데이트
- 9월 5일
magentoshgpt-image
Generate and edit images with OpenAI GPT-Image-2 via inference.sh CLI. Models: GPT-Image-2. Capabilities: text-to-image, image editing, inpainting, mask-based editing, multi-image reference, batch generation. Use for: product mockups, marketing visuals, image editing, concept art, inpainting, photo manipulation. Triggers: gpt image, gpt-image-2, openai image, chatgpt image, dall-e, dalle, openai image generation, gpt image edit, gpt inpainting, openai dall-e, gpt 4o image
- 설치 수
- 1
- GitHub Stars
- 0
- 업데이트
- 8월 3일
streakycgws-gmail
Gmail: Send, read, and manage email.
- 설치 수
- 1
- GitHub Stars
- 0
- 업데이트
- 8월 5일
streakycgws-gmail-reply
Gmail: Reply to a message (handles threading automatically).
- 설치 수
- 1
- GitHub Stars
- 0
- 업데이트
- 8월 5일
streakycgws-gmail-reply-all
Gmail: Reply-all to a message (handles threading automatically).
- 설치 수
- 1
- GitHub Stars
- 0
- 업데이트
- 8월 5일
streakycgws-gmail-send
Gmail: Send an email.
- 설치 수
- 1
- GitHub Stars
- 0
- 업데이트
- 8월 5일