code-mate-hermes
vmain
io.github.CherryHQ/cherry-studio/code-mate-hermes
Runs Hermes Agent in one-shot mode for bounded local tasks. Use when the user explicitly asks to delegate work to Hermes and accepts its automatic tool approval behavior.
“GitHub Copilot” 共 5,615 个结果
vmain
io.github.CherryHQ/cherry-studio/code-mate-hermes
Runs Hermes Agent in one-shot mode for bounded local tasks. Use when the user explicitly asks to delegate work to Hermes and accepts its automatic tool approval behavior.
vmain
io.github.openclaw/openclaw/clawdtributor
Clawtributor PRs here, last week or another window: discover conversation refs, recheck GitHub, rank by impact.
vmain
io.github.slopus/happy/release
Release pipeline for CLI, mobile, web, and server. Guides through version bumping, building, testing, publishing, and deploying. Replaces the old interactive release-it flow with a Claude Code-native experience. Use when user types /release or asks to release, publish, deploy, or ship any component.
vcanary
io.github.lobehub/lobehub/compose-atoms
Decompose a heavy domain feature into mountable capability atoms. Use when a Viewer/Page/index.tsx owns fetch, filters, mutations, modals, and host integrations together; a visual split still leaves store calls and actions on the page; a portal, embed, share, mobile, or micro-app needs a subset of the same domain; or a new capability is landing as another `readOnly`/`mode`/`variant` flag. Triggers on `compose-atoms`, sink state, 状态下沉, 重业务拆分, 拆成原子, 原子组件, 组装, god component, fat viewer, module graph, slot composition, host seam.
vmain
io.github.dotnet/aspnetcore/validate-blazor-feature
Validate a Blazor feature or behavior interactively in a browser using the canonical Components samples in this repo, before writing E2E tests. USE FOR exercising a Blazor change in src/Components (a render-mode behavior, an interactive component, enhanced navigation, forms, streaming, prerendering), deciding which sample to use, where to add a test page, how to set the render mode (Server/WebAssembly/Auto/static SSR), how to confirm the app is actually interactive (not just static SSR), and how to inspect the browser console and network for errors. Covers BlazorWebAppGlobal, BlazorWebAppPerPage, and BlazorWebAssemblyStandalone, launching them against the in-tree framework, and driving them with the Playwright MCP browser tools. DO NOT USE FOR writing permanent E2E/Selenium or unit tests, non-Components areas, comparative alternatives research, or isolated native-browser API/HTML/CSS experiments when no Blazor feature implementation is being validated; prefer a minimal browser probe instead.
vmain
io.github.sickn33/agentic-awesome-skills/ida-reverse
Reverse engineer binaries with IDA Pro: decompilation, disassembly, data-flow tracking, cross-references, and IDA MCP automation for deep static analysis of PE/ELF/Mach-O targets.
vmain
io.github.sickn33/agentic-awesome-skills/firmware-pentest
Firmware penetration testing following the OWASP FSTM nine-stage flow: extraction, EMBA automation, Firmadyne/QEMU emulation, AFL++ fuzzing, and hands-on exploitation in authorized labs.
vmain
io.github.sickn33/agentic-awesome-skills/reverse-browser-automation
Automate browsers (Playwright) and Windows desktop applications (UI automation) for reverse-engineering evidence collection, UI-driven workflows, and network observation during analysis.
vmain
io.github.sickn33/agentic-awesome-skills/src-hunter
Bug-bounty/SRC vulnerability-hunting workflow: five-phase methodology (intake, recon, enumeration, hunt, report) with attack playbooks for SQLi, XSS, RCE, SSRF, IDOR, CSRF, path traversal, and file upload.
vmain
io.github.sickn33/agentic-awesome-skills/pentest-tools
Operate 20+ penetration-testing tools (Nmap, Nuclei, SQLMap, FFUF, Hashcat, and more) through structured workflows with consistent output handling.
vmain
io.github.sickn33/agentic-awesome-skills/mobile-reverse
Authorized Android/iOS application reverse engineering and security testing: APK/IPA analysis, runtime instrumentation (Frida/Objection), SSL-pinning and jailbreak/root-detection bypass, per OWASP MASTG.
vmain
io.github.sickn33/agentic-awesome-skills/docs-generator
Generate technical deliverables from completed analysis: reverse-engineering reports, penetration-test reports, CTF write-ups, and signature-analysis documentation with evidence-backed structure.
vmain
io.github.sickn33/agentic-awesome-skills/cloud-k8s
Authorized cloud, container, and Kubernetes security assessment: metadata SSRF, IAM misconfiguration, container escape paths, and cluster RBAC review.
vmain
io.github.sickn33/agentic-awesome-skills/pwn-chain
Go from reverse engineering to a working exploit: stack/heap/kernel pwn workflows with pwntools, libc-database, ROP, and stabilization from CTF to authorized remote targets.
vmain
io.github.sickn33/agentic-awesome-skills/database-security
Authorized database security assessment across PostgreSQL, MySQL, MSSQL, MongoDB, and Redis: exposure, authorization gaps, UDF/command execution paths, and misconfiguration review.
vmain
io.github.microsoft/vscode/ux-css-layout
VS Code CSS conventions, file organization, class naming, standard sizes, SplitView/Grid layout, scrollable content, responsive layout, and text overflow/ellipsis patterns. Use when writing CSS, building layouts, or fixing text truncation issues.
vmain
io.github.microsoft/vscode/design-philosophy
The VS Code design philosophy — a shared Values→Principles→Moves vocabulary for reasoning about UI in design terms instead of raw pixels. Use when designing, building, reviewing, or giving feedback on any visual surface; when deciding a radius, spacing, type role, icon size, border, color, or motion; or when translating a "this feels off" observation into a concrete, principled fix.
vmain
io.github.apple/container/container
Use when running, building, or managing Linux containers on macOS, or when a task involves Docker, docker compose, Lima, Colima, or Podman commands on a Mac, Dockerfiles, OCI images, image registries, or setting up a Linux development environment on Apple silicon.
vmaster
io.github.getsentry/sentry/feature-flags
Gate a Sentry feature behind a FlagPole feature flag. Use when adding a feature flag, registering a flag in temporary.py, checking a flag from Python or the frontend, enabling a flag in tests, or asking where FlagPole rollout config lives. Trigger on "add a feature flag", "gate this behind a flag", "register a flag", "features.has", "api_expose", "OrganizationFeature", "ProjectFeature", "FlagPole".
vmaster
io.github.PostHog/posthog/formatting-insight-axes
Pick the right y-axis unit when creating or updating an insight via `posthog:insight-create` or `posthog:insight-update` — both TrendsQuery (`trendsFilter.aggregationAxisFormat`) and SQL insights (`DataVisualizationNode`, `chartSettings.yAxis[].settings.formatting`). Use when the agent is about to add a `formula` purely to convert units (e.g. dividing seconds by 60 to display minutes), when a `math_property` or SQL column is a duration, currency, ratio, or large count, or whenever the user mentions "format the y-axis", "duration", "seconds", "minutes", "hours", "milliseconds", "ms", "percentage", "%%", "currency", "decimals", "axis label", or "axis unit" in the context of a graph insight.
vmain
io.github.bentoml/BentoML/bentoml-deploy-scriptgen
Generate a standalone, committable production deploy-script bundle (deploy/deploy.py + one config.yml — overrides only — from which the Kubernetes manifests are rendered) that builds, containerizes, pushes, deploys, and verifies a BentoML service without any agent involved — runnable from a terminal or CI/CD. Use when the user says things like "generate a deployment script", "deploy from CI/CD", "set up a production deployment pipeline", "deploy without the agent", "give me a script I can commit to deploy this", or "automate my BentoML deploys". Complements the interactive skills: bentoml-containerize, bentoml-k8s-deploy, and bentoml-ec2-deploy do a one-off deploy with you in the loop; this skill emits scripts that repeat it forever. Kubernetes and EC2 targets.
vmain
io.github.bentoml/BentoML/bentoml-ec2-deploy
Deploy a containerized BentoML service directly onto one or more plain AWS EC2 instances with Docker — no Kubernetes. Takes a pushed container image (built by the bentoml-containerize skill), either uses the user's existing instances over SSH or provisions a new instance via the AWS CLI (SSM AMI lookup, security group, key pair), runs the container with restart-on-reboot, and verifies with a real inference request. Use when the user says things like "deploy my BentoML service to EC2", "run my bento on an AWS VM", "deploy this bento image to an EC2 instance", "run my BentoML container on AWS without Kubernetes", or "put my bento on a cloud VM". For Kubernetes targets use bentoml-k8s-deploy instead.
vmain
io.github.bentoml/BentoML/bentoml-k8s-deploy
Deploy a containerized BentoML service to a vanilla Kubernetes cluster using plain kubectl manifests (no Helm, no operators, no BentoCloud/Yatai). Takes a pushed container image (from the bentoml-containerize skill), discovers the bento's service topology, writes one `config.yml` for the deployment, renders one Deployment + Service per BentoML service (plus optional HPA/Ingress) from it, applies them in dependency order, and verifies the rollout with a real inference request. Use when the user says things like "deploy my BentoML service to Kubernetes", "deploy this bento image to my cluster", "run my bento on k8s", "create k8s manifests for my bento", "split my bento services into separate pods", or "expose my BentoML service in Kubernetes". Also diagnoses a deployment that went wrong — "my BentoML pods are crashing", "ImagePullBackOff", "pod stuck Pending", "readiness probe failing", "rollout stuck", "can't reach my service on Kubernetes", "inference 4xx/5xx".
vmain
io.github.langchain-ai/deepagents/deepagents-thread-inspector
Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse $DEEPAGENTS_HOME/.state/sessions.db and a thread UUID or prefix.