This skill should be used when the user asks to "set up oodle integration", "onboard to oodle", "integrate kubernetes with oodle", "connect AWS to oodle", "install oodle collector", or mentions setting up observability with Oodle. Discovers the environment, recommends matching integrations from available setup specs, and executes step-by-step installation. Not for querying existing metrics, logs, or traces (use /oodle-metrics-query, /oodle-logs, /oodle-traces instead).

導入数: 1
GitHub Stars: 0
更新日: 9月1日

MIT5 ファイル

詳細を見る →

oodle-ai

コミュニティ

oodle-synthetic

Create and manage Oodle synthetic monitors — HTTP and TCP health checks with assertions and configurable intervals.

導入数: 1
GitHub Stars: 0
更新日: 9月1日

oodle-triage

Triages production alerts using observability signal. Mode A gathers confirmed-vs-inferred context for a single alert or ticket and updates the tracker; Mode B fans out over alerts that fired in a window, suppresses muted and unrouted noise, dedupes via a stable fingerprint, and files or updates issues idempotently. Correlates alerts to recent changes through the O11y Change Context manifest. Use when investigating an alert or incident, or running scheduled oncall triage.

導入数: 1
GitHub Stars: 0
更新日: 9月1日

MIT2 ファイル

詳細を見る →

pointdotcom-marketing

コミュニティ

point-brand-guidelines

Apply and review Point's official visual brand system for logos, typography, colors, artwork, photography, and comparison layouts. Use when creating, editing, or auditing Point-branded web pages, ads, decks, documents, social assets, illustrations, photo direction, design systems, CSS, or UI components where visual brand compliance matters.

導入数: 1
GitHub Stars: 0
更新日: 9月5日

38 ファイル

詳細を見る →

pointdotcom-marketing

コミュニティ

point-brand-voice

Write, edit, and review Point marketing copy in the homeowner-first brand voice used on point.com, HEI, and HELOC pages. Use for landing pages, product explanations, ads, emails, FAQs, CTAs, SEO copy, lifecycle messages, and copy critiques for Point home equity products.

導入数: 1
GitHub Stars: 0
更新日: 9月5日

4 ファイル

詳細を見る →

pointdotcom-marketing

コミュニティ

point-social-ad-ideation

Generate, differentiate, rank, and expand Point paid social and digital ad concepts into production-ready creative briefs and draft creative asset or design directions. Use for campaign brainstorming, concept territories, hooks, UGC or testimonial ideas, static or motion concepts, rough asset concepts, visual direction, cutdowns, test plans, brief writing, on-asset disclosure planning, or reviews of whether a Point social ad idea is distinct, brand-aligned, testable, legally reviewable, and feasible.

導入数: 1
GitHub Stars: 0
更新日: 9月5日

tl-agent-plan-execute

Execute a verified plan document. Consumes verification receipts from tl-agent-plan-audit to avoid redundant re-verification. Defines the trust model, staleness protocol, and exit gate execution process. Use when executing a .plan.md file, starting plan implementation, or when the user says "implement the plan" or "execute the plan".

導入数: 1
GitHub Stars: 0
更新日: 9月8日

tl-docs-viewer-create

Create a React admin UI for browsing documentation folders with tree navigation, markdown rendering, Mermaid diagrams, and TOC generation. Use when adding a docs viewer to an admin interface.

導入数: 1
GitHub Stars: 0
更新日: 9月8日

tl-kysely-patterns

- Type-safe SQL query building with Kysely for PostgreSQL. Covers query patterns, ExpressionBuilder, JSONB/arrays, migrations, and common pitfalls. Use when writing Kysely queries, creating migrations, debugging type issues, or working with a Kysely codebase.

導入数: 1
GitHub Stars: 0
更新日: 9月8日

tl-live-music-data

Reference documentation for live music data APIs and ID mapping between services. Use when integrating MusicBrainz, Setlist.fm, JamBase, Bandsintown, Ticketmaster, or other concert/artist APIs.

導入数: 1
GitHub Stars: 0
更新日: 9月8日

tl-schema-org

The full Schema.org vocabulary -- all 800+ types, 1500+ properties -- with production patterns for JSON-LD rendering, database modeling, API interoperability, extension governance, and rich results. Not just SEO markup. Use when working with structured data, Schema.org types, JSON-LD, or designing data models and APIs grounded in Schema.org.

導入数: 1
GitHub Stars: 0
更新日: 9月8日

codebase-memory-mcp

Use when exploring unfamiliar code, mapping architecture, finding symbols or relationships, tracing callers, callees, data flow or dependencies, assessing impact, auditing dead or complex code, or handling explicit Codebase Memory requests. Otherwise skip tasks confined to a supplied known file, tiny one-file check, exact literal, configuration value, error string, or non-code text.

導入数: 1
GitHub Stars: 3.9万
更新日: 9月8日

typescript-mcp-server-generator

Generate a complete MCP server project in TypeScript using the MCP TypeScript SDK v2 (@modelcontextprotocol/server) with tools, resources, and proper configuration

導入数: 1
GitHub Stars: 3.9万
更新日: 9月8日

ito-inference

Inspect the availability of model serving on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed serving manifest. Use after ito-compute has booked GPU nodes and the user asks for an OpenAI-compatible endpoint, ito-serve, hosted Kimi, or self-hosted open-weights inference. ECC implements no serving stack of its own.

導入数: 1
GitHub Stars: 25.3万
更新日: 9月7日

latency-critical-systems

Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter. Use when p95 latency or data freshness matters — realtime dashboards, market data, streaming agents, queues, or caches.

導入数: 1
GitHub Stars: 25.3万
更新日: 9月7日

parallel-execution-optimizer

Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.

導入数: 1
GitHub Stars: 25.3万
更新日: 9月7日

prediction-market-oracle-research

Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice. Use when evaluating prediction markets as a data source or oracle signal for a product, agent, or dashboard.

導入数: 1
GitHub Stars: 25.3万
更新日: 9月7日

react-performance

React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, advanced. Use when writing, reviewing, or refactoring React/Next.js code for performance.

導入数: 1
GitHub Stars: 25.3万
更新日: 9月7日

terminal-opener

Open an executable and its argument array in a visible terminal window through a reusable, shell-free launch plan with dry-run, JSON, capability detection, detached fallback, and standalone recovery modes. Use when Codex needs to open an interactive CLI, SSH session, local development process, sandbox, or other argv-based command in a new host terminal; diagnose whether a supported terminal is available; or provide an actionable plan when the requested terminal is unsupported.

導入数: 1
GitHub Stars: 25.3万
更新日: 9月7日

MIT3 ファイル

詳細を見る →