Expert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available. Use for incident response, root cause analysis, production debugging, or log investigation.
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。
openclaw/clawhub☆ 9,5072026年10月13日 更新
Prepare and execute a Plannotator release — draft release notes with full contributor credit, bump versions across all package files, build in dependency order, and kick off the tag-driven release pipeline. Use this skill whenever the user mentions preparing a release, bumping versions, writing release notes, tagging a release, or publishing. Also trigger when the user says things like "let's ship", "prep a release", "what's changed since last release", or "time to cut a new version".
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。
backnotprop/plannotator☆ 9,4062026年10月13日 更新
CCPM - spec-driven project management: PRD → Epic → GitHub Issues → parallel agents → shipped code. Use this skill for anything in the software delivery lifecycle: writing a PRD ('write a PRD for X', 'let's plan X', 'scope this out'), parsing a PRD into an epic, decomposing an epic into tasks, syncing to GitHub ('sync the X epic', 'push tasks to github'), starting work on an issue ('start working on issue N', 'let's work on issue N'), analyzing parallel work streams, running standups ('standup', 'run the standup'), checking status ('what's next', 'what's blocked', 'what are we working on'), closing issues, or merging an epic. Use ccpm any time the user is talking about shipping a feature, managing work, or tracking progress — even if they don't say 'ccpm' or 'PRD'. Do NOT use for: debugging code, writing tests, reviewing PRs, or raw GitHub issue/PR operations with no delivery context.
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。
automazeio/ccpm☆ 8,4102026年3月18日 更新
当在当前会话中执行包含独立任务的实现计划时使用
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。
jnMetaCode/superpowers-zh☆ 8,3062026年10月8日 更新
在实现任何功能或修复 bug 时使用,在编写实现代码之前
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。
jnMetaCode/superpowers-zh☆ 8,3062026年10月8日 更新
Dashboard panel components (class-based, self-fetching) and push-update sidebar modules (functional, externally-driven) using vanilla TypeScript DOM API, with retry logic, localStorage persistence, and guarded CSS injection.
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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Create resilient, data-driven dashboard panels with integrated API handling and UI components, combining circuit breaker patterns with vanilla TypeScript panel architecture.
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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Create dashboard panel components with integrated resilient data services, combining UI construction and data fetching into a unified pattern.
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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.
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。
Gentleman-Programming/gentle-ai☆ 7,7492026年10月14日 更新
Trigger: root audit, atacar la raíz, issue roots, backlog roots, mechanism map, deletion-driven fix, resolver issues de raíz, close outdated issues. Audit and resolve issue clusters by verified root cause.
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。
Gentleman-Programming/gentle-ai☆ 7,7492026年10月14日 更新
Proactive threat hunt over web/application logs — no alert in hand. Profiles the corpus, runs a hypothesis-driven hunt loop with a mandatory written ledger, confirms suspects in source, detonates a local PoC, and writes INCIDENTS.json + INCIDENT_REPORT.md. Use when asked to "hunt the logs", "find the campaign", "look for signs of compromise", or "run dnr-hunt". The no-alert entry to the detection & response track; /dnr-respond is the lead-in-hand entry.
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。
anthropics/defending-code-reference-harness☆ 7,5762026年8月7日 更新
Mutation-driven test vector generation. Finds implementations of a cryptographic algorithm or protocol, runs mutation testing to identify escaped mutants, then generates new test vectors that deliberately exercise the uncovered code paths. Compares before/after mutation kill rates to prove vector effectiveness. Use when generating cryptographic test vectors, measuring Wycheproof coverage gaps, finding escaped mutants via mutation testing, creating cross-implementation test suites, or improving test vector coverage for crypto primitives.
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。
trailofbits/skills☆ 7,5172026年10月14日 更新
Comprehensive API security testing methodology covering REST, gRPC, and WebSocket attack surfaces. Addresses the full OWASP API Security Top 10 2023 including BOLA/IDOR, broken authentication, excessive data exposure, rate limiting bypass, BFLA, mass assignment, SSRF, and security misconfiguration. Includes REST-specific attacks such as HTTP verb tampering, content-type switching, and parameter pollution. Covers gRPC exploitation through protobuf interception, reflection API enumeration, and metadata injection. Addresses WebSocket vulnerabilities including origin bypass, message injection, and cross-site WebSocket hijacking. Provides tooling guidance for Burp Suite, Postman, grpcurl, websocat, and mitmproxy. Each technique includes detection signatures and defensive indicators so you understand what artifacts your testing leaves behind. Designed for authorized penetration testing engagements against API-driven architectures.
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。
SnailSploit/Claude-Red☆ 7,4882026年10月13日 更新
Evil Twin / KARMA / Mana access point methodology — rogue AP construction with hostapd-mana / wifiphisher / airgeddon, KARMA universal probe response, Mana selective probe response, captive portal phishing, deauth-driven client coercion to attacker AP, MAC randomization defeat via PNL leak analysis, post-association MITM (DNS, ARP, transparent proxy), credential capture for portal/web/SMB, and detection-evasion tactics. Use to coerce client devices onto an attacker-controlled AP, intercept their traffic, harvest credentials, or deliver payloads via captive portal.
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。
SnailSploit/Claude-Red☆ 7,4882026年10月13日 更新
Social engineering attack techniques beyond email phishing for authorized red team and physical penetration testing engagements. Covers pretexting methodology (persona creation, authority and urgency psychological triggers, rapport building), vishing (voice phishing via caller ID spoofing, IVR system exploitation, VoIP infrastructure setup with Twilio/Asterisk), smishing (SMS-based phishing, carrier gateway abuse, short code impersonation), physical social engineering (tailgating and piggybacking, RFID badge cloning with Proxmark3, lock picking and bypass, dumpster diving for sensitive documents), USB drop attacks (Rubber Ducky keystroke injection, Bash Bunny multi-vector payloads, O.MG cable covert implants, BadUSB firmware attacks), watering hole attack planning and execution, and OSINT-driven targeting (LinkedIn harvesting, organizational chart reconstruction, employee pattern analysis). Integrates with the Social Engineering Toolkit for attack automation, Proxmark3 for RFID/NFC cloning, USB Rubber Ducky and Bash Bunny for physical payload delivery, and BeEF for browser exploitation. Maps to MITRE ATT&CK T1598 (Phishing for Information), T1566 (Phishing), T1091 (Replication Through Removable Media), and T1189 (Drive-by Compromise). All techniques require explicit written authorization and defined rules of engagement.
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。
SnailSploit/Claude-Red☆ 7,4882026年10月13日 更新
Use when analyzing dated public-equity event paths, probabilities, payoffs, and expected returns. Do not use for generic catalyst lists, risk sizing, hedges, capital structure, covenants, or credit recovery.
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。
openai/plugins☆ 7,4332026年10月8日 更新
Use when building public-equity-investing catalyst calendars. Do not use for full event underwriting; use event-driven-analyzer.
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。
openai/plugins☆ 7,4332026年10月8日 更新
Use when Codex is asked to build, run, test, debug, or configure an OpenAI-backed or provider-unspecified AI app, UI, script, CLI, generator, or tool, especially requests phrased only as "using AI" or generators driven by forms/user input; also use for OPENAI_API_KEY or sk-proj setup. Treat this as the credential gate: inspect safely, ask reuse-vs-new before API work, and never expose plaintext.
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。
openai/plugins☆ 7,4332026年10月8日 更新
Full CRUD and analysis for Mixpanel dashboards. Use when the user asks to build, create, analyze, read, understand, explain, modify, update, enhance, or manage dashboards, or asks about dashboard layout, text cards, or report arrangement. Covers dashboard analysis (read + understand existing), creation (new builds), modification (update existing), and explanation (data-driven annotation).
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。
openai/plugins☆ 7,4332026年10月8日 更新
Create video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions in HyperFrames HTML. Use when asked to build any HTML-based video content, add captions or subtitles synced to audio, generate text-to-speech narration, create audio-reactive animation (beat sync, glow, pulse driven by music), add animated text highlighting (marker sweeps, hand-drawn circles, burst lines, scribble, sketchout), or add transitions between scenes (crossfades, wipes, reveals, shader transitions). Covers composition authoring, timing, media, and the full video production workflow. For CLI commands (init, lint, preview, render, transcribe, tts) see the hyperframes-cli skill.
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。
openai/plugins☆ 7,4332026年10月8日 更新
Integrate data visualizations into React and Next.js applications. Use when the user needs chart components, UML-like or architecture diagram components, React integration patterns, Next.js client or server boundaries, hydration-safe rendering, lazy loading, framework-aware performance, scroll-driven visual stories, or export guidance.
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。
openai/plugins☆ 7,4332026年10月8日 更新
Build typed data visualizations in TypeScript. Use when the user wants TypeScript visualization code, typed data models, browser visualization components, UML-like diagram models, interactive graph or architecture diagram contracts, scroll-driven scene contracts, library selection guidance, or a maintainable visualization architecture beyond React- or Next-specific concerns.
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。
openai/plugins☆ 7,4332026年10月8日 更新
Test data visualizations and dashboards. Use when the user needs chart or diagram test strategy, screenshot or image diff testing, visual regression, mocked or synthetic chart data, component or unit tests, E2E dashboard QA, interactive UML-like diagram verification, scroll-driven story verification, export verification, or guidance on avoiding brittle over-testing.
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。
openai/plugins☆ 7,4332026年10月8日 更新
Design and implement parallax scrolling and scrollytelling data visualizations. Use when the user asks for parallax scrolling, scrollytelling, scroll-driven timelines, sticky graphics, Scrollama, ScrollTrigger, ScrollTimeline, view timelines, rich-media timelines, moviescrollers, scroll-scrubbed charts, staged narrative reveals, or interactive visual stories where scrolling changes a data visualization or media scene.
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。
openai/plugins☆ 7,4332026年10月8日 更新