Brownfield improvements — the full WDS pipeline in miniature for existing products
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
Brownfield improvements — the full WDS pipeline in miniature for existing products
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。
Autonomous project bootstrapper. Generates complete project from a description — structure, code, tests, docs, config. Orchestrates ba → plan → design → fix → test → docs → git in one pipeline. The "0 to production-ready" 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。
Deploy + marketing orchestrator. Use when user says 'launch', 'ship to production', 'deploy and announce', or 'go live'. Runs the full pipeline — pre-flight tests, deployment, live verification, marketing asset creation, and announcement.
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。
Prioritize drug targets from a ranked gene list (e.g., scRNA-seq DE output) by orchestrating parallel API queries against UniProt, OpenTargets (with integrated DepMap CRISPR essentiality + gnomAD constraint), PubMed, the Human Protein Atlas (HPA), and ChEMBL tool compounds, then re-ranking by a composite score combining protein localization, druggability, disease genetics, tissue specificity (safety), focus-cell-type expression, CRISPR essentiality, LoF safety constraint, and research maturity. Use whenever the user wants to filter, triage, prioritize, or "do due diligence" on a list of candidate genes for drug discovery, especially after a DE / DEG analysis when they say things like "which of these should I follow up on", "filter for druggable targets", "make a target dossier", "rank these for tractability", "annotate these genes for druggability", or "build a target report". Trigger even when the user says just "filter these candidate genes" or hands over a CSV from a DE pipeline.
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。
[DEPRECATED — merged into gingiris-seo-geo-agent] SEO/GEO agent-ops SOP: daily 4-phase audit automation, GSC pipeline, AI traffic tracking, schema validation, IndexNow. Use the gingiris-seo-geo-agent skill instead.
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 B2B marketing pipeline combining LinkedIn content, cold email sequences, and webinar funnels. Designed for SaaS founders doing $0–$1M ARR who need predictable lead generation. By @WeiYipei.
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。
Craft Cloud — Pixel & Tonic's serverless hosting platform for Craft CMS. Covers craft-cloud.yaml configuration, the Build → Migrate → Release deploy pipeline, the craftcms/cloud extension package, edge image transforms via Cloudflare, edge static caching with cache.rules + ESI, Cloud-managed S3 filesystem, MySQL 8 / Postgres 15 databases (no MariaDB, no tablePrefix), Console-based command runner and scheduled cron (once-per-hour minimum), auto-handled queue jobs, custom domains and SSL, preview environments per branch, Cloud limitations (ephemeral filesystem, no SSH, no .htaccess, no built-in mail), plugin development requirements for Cloud compatibility, and self-hosted → Cloud migration.
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。
Guidance for scaffolding new Rust projects. Use when: (1) starting a new Rust project or workspace, (2) configuring Cargo.toml best practices, (3) setting up CI pipelines for Rust, (4) organizing a multi-crate workspace, (5) configuring clippy, rustfmt, and linting.
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。
Run this repo's CI end-to-end — the kolu-specific procedure on top of the odu runner: the odu MCP front door, banned opt-out flags, linux-only platform pinning, venue-pool leasing, fail-fast surfacing, e2e timing evidence, and the green-gate. Triggers on "run CI", "drive CI", "re-run the pipeline", "close the red check", "warm the pool". Runner mechanics live in the `/odu` 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。
Run an autonomous overnight campaign to find, prove, fix, and document CI flakes. Use when the user asks to stabilize CI through repeated full-pipeline runs and leave an evidence-backed draft PR.
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。
Drive CI with `odu` — one shared service, reached from a terminal (`odu surface`), from an agent (`odu mcp`), or from a browser. Trigger when the user asks to "run CI", "run the pipeline", "re-run a check", to run named lanes or recipes (e.g. "run fmt and nix", "just the e2e lane", bare selectors like `fmt`/`nix`/`e2e`), or names a recipe by `<recipe>@<platform>`. This skill — not a repo's local `just ci` / `just <recipe>` — is how an odu-run request is served, whichever face you are on.
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 diagnostics pipeline (ripdpi-monitor-engine/ripdpi-diagnostics-* and core/diagnostics). Use when changing ScanRequest/ScanReport, ProbeTask families, probe scheduling, the catalog, or the wire contract. Techniques: desync-engine.
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。
Skill for building ActonOS: Web UI → Go binary → Docker image → ISO. Covers the entire build pipeline.
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。
Autonomous novel writing CLI agent with web workbench (JiaOS Studio) - use for creative fiction writing, standalone short-fiction packages, cover generation, novel generation, style imitation, chapter continuation/import, EPUB export, AIGC detection, and fan fiction. Native English support with 10 built-in English genre profiles (LitRPG, Progression Fantasy, Isekai, Cultivation, System Apocalypse, Dungeon Core, Romantasy, Sci-Fi, Tower Climber, Cozy Fantasy). Also supports Chinese web novel genres (xuanhuan, xianxia, urban, horror, other). Multi-agent pipeline, two-phase writer (creative + settlement), stronger long-form chapter craft rules, hook-ledger payoff checks, 33-dimension auditing, token usage analytics, creative brief input, structured logging (JSON Lines), multi-model routing, custom OpenAI-compatible provider support, and JiaOS Studio web UI for visual book management, short-fiction runs, cover generation, chapter review, real-time writing progress, market radar, and analytics.
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。
GitLab CI migration to GitHub Actions — syntax mappings and the migration report template for Pipelines, includes, Pages, environments, rules/only/except, parallel jobs, GitLab-specific variables. Load with `migration-core` when migrating GitLab CI sources to GitHub Actions.
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。
Jenkins migration to GitHub Actions — syntax mappings and the migration report template for Pipelines (declarative + scripted), shared libraries, Groovy scripts, credential bindings, agent labels, parallel stages, plugin replacements. Load with `migration-core` when migrating Jenkins sources to GitHub Actions.
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。
Azure DevOps migration to GitHub Actions — syntax mappings and the migration report template for YAML pipelines, templates, variable groups, service connections, deployment jobs, stages, conditional logic. Load with `migration-core` when migrating Azure DevOps sources to GitHub Actions.
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。
Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).
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。
Process vehicle insurance Excel data using Pandas - file handling, data cleaning, merging, validation. Use when processing Excel/CSV files, handling data imports, implementing business rules (negative premiums, zero commissions), debugging data pipelines, or optimizing Pandas performance. Keywords: data_processor.py, Excel, CSV, Pandas, merge, deduplication, date normalization.
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。
Instructions for managing CI pipelines, GitHub Actions workflows, Airflow DAGs, and automation scripts in the insurance analytics project.
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。
Analytics and BI engineer — dashboards, metrics design, reporting pipelines, and data storytelling. Use when asked to "build a dashboard", "design a metric", "write a report", or "audit our analytics".
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。
Build a reporting pipeline — scheduled reports with SQL queries, delivery via Slack or email, threshold alerts, and historical comparison. Use when asked for "automated reports", "scheduled report", "email digest", or "Slack alerts for metrics".
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。
People reconnaissance - audit org design, hiring pipeline, comp structure, onboarding, and performance systems to understand what is working and where the constraint is. Use when asked to "audit our people ops", "what is broken in our hiring", "review our org structure", or "before designing a comp framework".
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。