Context window management. Auto-triggered when context is filling up. Triggers smart compaction and preserves critical information across compaction boundaries. Called by L1 orchestrators at context thresholds.
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。
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概要と使いどころ
Context window management. Auto-triggered when context is filling up. Triggers smart compaction and preserves critical information across compaction boundaries. Called by L1 orchestrators at context thresholds.
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。
Code mode operational spec for the team lead. Returns lead identity, facilitator identity, mode-specific rules, suggest-members guidance, and phase arc for code-mode teams.
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。
Systematic backlink building for indie founders. Covers 5 channel types ranked by GEO + SEO ROI: Wikipedia (entities), authoritative media (PR), industry reviews (G2/Capterra/Product Hunt), Reddit/Quora discussions, and HARO/Featured.com expert quotes. Designed for 0→1 sites where domain authority is the bottleneck. Aligns with 2026 Google/Bing GEO guidance: backlinks are the strongest brand-authority signal AI search engines use to decide citations. Defaults to dev/B2B link sources; for 2C products (education, consumer apps) authority links differ — see gingiris-seo-geo/references/2c-adaptation.md.
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。
Complete developer marketing playbook covering DevRel programs, documentation as marketing, API developer experience, community building, and hackathon strategy. For dev-tool founders who need to reach engineers. Follow @WeiYipei on X.
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。
GEO (Generative Engine Optimization) 引用追踪 + 优化(2026-06-24 标准)。每周对 4 大 AI(Claude/GPT/Perplexity/Gemini) 跑固定查询,检测回答里是否引用目标域名。对未被引用的页面补 Citable Statistics + AI 友好格式(一句话答+表格+FAQ)。 Bing IndexNow 推送确保大模型快速 discover/index。GA4 AI 来源流量监控。 当用户说"我有没有被 AI 引用"、"GEO 优化"、"llms.txt 更新"、"AI 引用追踪"时调用。 默认 B2B/开源;2C 产品(教育/应用)的查询选题与 Citable Stats 来源不同,见 gingiris-seo-geo/references/2c-adaptation.md。
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。
Optimize prompts for code-related tasks following prompt-engineering best practices. Use when refining prompts for implementation, debugging, refactoring, code review, or 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。
Write a kolu blog post grounded in the real build history — mine the Claude Code session logs behind a feature for the actual story (for large efforts, fan out over the transcripts with an ultracode workflow), draft it in the author's voice, and wire it into the Astro site. Use when asked to write a blog post or engineering essay about something that was built, especially one that should read as a narrative of what actually happened rather than invented marketing copy.
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。
Network-engineering audit playbook for the RIPDPI Android app: VpnService, TUN-to-SOCKS, Rust data plane, DNS, TLS/QUIC strategy, relays, and diagnostics. Use for RIPDPI app network reviews or protocol/VPN architecture audits.
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。
Reference for the DPI desync pipeline (ripdpi-config/-desync/-desync-runtime/-proxy-runtime). Use when changing TcpChainStep/UdpChainStep, offsets, fake-packet/TTL/TLS-prelude behavior, or a candidate's technique. Scheduling: diagnostics-system.
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。
Create high-quality, model-aware system prompts for any LLM (Claude, GPT, Gemini, open-source, etc.). Use this skill whenever the user wants to create, write, build, design, draft, or improve a system prompt, system instructions, or custom instructions for any AI model. Also trigger when the user asks about prompt engineering, prompt design, prompt optimization, or wants to define behavior for an AI assistant, chatbot, agent, or any LLM-powered application — even if they don't explicitly say "system prompt". Covers all use cases including chatbots, agentic systems, tool-use workflows, content generation, data extraction, code assistants, and multi-turn conversations.
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。
Skill for developing AI agent engine components in internal/agent/. Covers the ReAct loop, swarm delegation, planning, verification, memory reflection, and cron automation.
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。
Operate the Ryuumonbuchi MCP server for headless Ghidra reverse engineering. Use when driving decompilation, disassembly, patching, type and symbol recovery, memory edits, transactions, and Ghidra project analysis through a Ryuumonbuchi server (stdio or streamable HTTP). Covers the safe read-only-first workflow, session and address discipline, mutation and transaction rules, headless.run, task and error recovery, raw ghidra.call/ghidra.eval/ghidra.script escape hatches, and a sleep/timing-gate bypass recipe.
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。
Řídící pult pro workflow kontrakty — zjisti reálný stav, naplánuj (DAG, kolize, resume), nech uživatele vybrat a spusť jeden super.engineering worktree na každý vybraný kontrakt. Vyvolání téhle skill JE uživatelova výslovná žádost o vytvoření worktree pro vybrané kontrakty.
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。
Dirigent jednoho workflow kontraktu ve svém super.engineering worktree — deleguje implementaci na subagenta, mezi fázemi pouští wf-gate, review předá skill wf-review, otevře draft PR (guardovaný), vyřeší komentáře, spustí UAT. Použij, když task session říká, že se má kontrakt provést přes wf-impl.
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。
Expert guide for modern web-based game development. Covers PlayCanvas, Babylon.js Havok, Three.js/R3F Rapier & Jolt Physics, Fixed-Timestep Accumulators, Zero-GC Pooling, ECS (bitECS/Miniplex), Spatial Audio (HRTF), and WebTransport networking / Panduan ahli pengembangan game web modern dan efisien.
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。
Comprehensive design guide & BM25 search engine for web and mobile applications across 11 tech stacks / Panduan desain komprehensif & mesin pencari BM25 untuk aplikasi web dan mobile di 11 tech stack.
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。
Expert guide for Vercel AI SDK (Core, UI, RSC), streaming structured data, multi-provider model switching, tool calling loops, and React 19/Next.js 15 AI engineering / Panduan ahli Vercel AI SDK, streaming data terstruktur, dan integrasi AI pada React 19/Next.js 15.
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。
Analyzes and reverse-engineers website designs directly from a target URL, extracting layout structures, design tokens (colors, typography, spacing), component hierarchies, visual assets, and responsive behaviors to enable full 1:1 duplication into modern code (Tailwind CSS v4, React/Next.js, HTML/CSS). / Mempelajari dan merekayasa balik desain situs web langsung dari URL target, mengekstrak struktur layout, design token (warna, tipografi, spacing), hierarki komponen, aset visual, dan perilaku responsif untuk duplikasi 1:1 penuh ke kode modern.
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。
Expert guide for reverse-engineering UI/UX interactions from screen-recordings and spatial video, extracting animation spring curves, and generating pixel-perfect Tailwind CSS v4 and Framer Motion code / Panduan ahli rekayasa balik interaksi UI/UX dari rekaman layar dan video spasial, ekstraksi kurva pegas animasi, dan pembuatan kode presisi Tailwind CSS v4 serta Framer Motion.
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。
Expert guide for error handling patterns, resilience engineering, retry strategies, circuit breakers, and graceful degradation across React, Next.js, and Node.js / Panduan ahli pola penanganan error, rekayasa ketahanan, strategi retry, circuit breaker, dan degradasi anggun di React, Next.js, dan Node.js.
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。
Expert guide for deterministic prompt prefix engineering, KV-cache locking for Gemini 4 Pro / Claude 5.5 / GPT Astra 6, canonical tool sorting, and achieving 90%+ prompt cache hit rates / Panduan ahli rekayasa prefix prompt deterministik, penguncian KV-cache untuk Gemini 4 Pro / Claude 5.5 / GPT Astra 6, pengurutan kanonikal tool, dan pencapaian 90%+ cache hit rate.
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。
Expert guide for Data Pipelines, ETL/ELT, and Analytics Engineering. Covers dbt, Apache Airflow, Dagster, BigQuery, ClickHouse, and DuckDB / Panduan ahli untuk Data Pipelines, ETL/ELT. Mencakup dbt, Airflow, Dagster, BigQuery, ClickHouse, dan DuckDB.
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。
Use when asked to select chart types for analytics dashboards, choose BI visualizations, or design data displays. Examples: "best chart for sales data", "dashboard visualization for metrics", "analytics chart selection"
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。
Customer Success engineer — onboarding optimization, health scoring, expansion revenue, churn prevention, and NRR growth. Use when asked to "improve onboarding", "score account health", "prevent churn", or "grow NRR".
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。