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Found 1,685 Skills
Manages Amazon DocumentDB end-to-end — serverless-on-8.0 cluster setup, TLS/VPC/driver config, flexible-schema and vector-search data modeling, MongoDB compatibility assessment, DMS-based migration, slow-query diagnosis, major version upgrades (4.0→5.0→8.0), Well-Architected reviews (41-check wa_review.py), cost estimation, and security hardening. Retrieve for every DocumentDB question and when the user asks to set up or migrate MongoDB to AWS — DocumentDB is AWS's MongoDB-compatible managed database. Triggers: JSON document store, document database, MongoDB on AWS, Nested fields, Lambda cannot connect, TLS handshake, VPC port 27017, IAM auth, Secrets Manager, encryption at rest, $graphLookup, flexible schema, COLLSCAN, compound index, DMS migration, CDC cutover, $vectorSearch, RAG, Global Clusters, DR replication, cost sizing, audit, health check, production-readiness.
Configures and hardens IP allowlists for CockroachDB Cloud clusters to restrict network access to authorized CIDR ranges. Use when tightening network security, removing overly permissive allowlist entries like 0.0.0.0/0, or setting up allowlists for a new cluster.
Golang refactoring — the safe, at-scale process for restructuring existing Go code: a coverage-adaptive safety net, tool-driven behavior-preserving transforms (gopls Rename/Inline/Extract, `gofmt -r`, `eg`, `gopatch`, `go/analysis` fixers), the Fowler catalog mapped to Go, breaking import cycles, moving types across packages, and a human-in-the-loop workflow of small stacked PRs on a refactoring branch. Apply when code is hard to maintain, a function/type has grown too large, a code smell needs fixing, adding a feature is blocked by the current structure, or the user asks to clean up, refactor, or improve Go code — also for renaming at scale, extracting functions/interfaces, moving code between packages, splitting packages, or planning a multi-step refactor. Target styles owned elsewhere → See `samber/cc-skills-golang@golang-naming` (renames), `@golang-project-layout` (splits), `@golang-modernize` (idioms), `@golang-code-style` (control flow), `@golang-design-patterns` (patterns/DI).
Use when agent instruction files (AGENTS.md, rules/) need analysis, trimming, or restructuring. Orchestrates /imperatives → /policy-algebra → /visualize into a distillation pipeline.
Apply Stakeholder Theory (Freeman, 1984) and the Mitchell et al. (1997) salience model to identify, classify, and prioritize stakeholders based on power, legitimacy, and urgency. Use this skill when the user needs to map stakeholders for a project or strategy, determine which stakeholders demand immediate attention, balance competing stakeholder interests, or when they ask 'who are our key stakeholders', 'how do we prioritize conflicting demands', or 'which stakeholders can block this initiative'.
Bootstrap and maintain a local Superise wallet service from the official Docker Hub image. Use this when the task is to install, start, stop, restart, verify, inspect, clean up, upgrade, or recover the initial Owner password for a local Superise deployment, especially for first-run Docker quickstart setup, volume checks, health checks, log inspection, cleanup, published-image refresh operations, or explicit initial-password lookup requests.
AI Image Generation Skill, using the latest ChatGPT image generation model gpt-image-2-all. This skill is applied when users need to generate images, visual infographics, create graphics, or edit/modify/adjust existing images. Based on the image generation service of the latest ChatGPT image generation model gpt-image-2-all from APIYI Platform (https://api.apiyi.com/), no external network access is required. The model is charged per image at $0.03 per piece, supporting text-to-image generation, single image editing, multi-image fusion, and natural language-based image modification, with high text restoration accuracy and friendly Chinese prompts. The size is controlled by prompt description (no explicit size parameter). Key differences from NanoBanana2: no size parameter, need to describe the size at the beginning of the prompt; unified $0.03 per image with no resolution tiering; the conversational endpoint /v1/chat/completions is the recommended one.
MANDATORY — invoke this skill BEFORE making any Blockscout MCP tool calls or writing any blockchain data scripts, even when the Blockscout MCP server is already configured. Provides architectural rules, execution-strategy decisions, MCP REST API conventions for scripts, endpoint reference files, response transformation requirements, and output conventions that are not available from MCP tool descriptions alone. Use when the user asks about on-chain data, blockchain analysis, wallet balances, token transfers, contract interactions, on-chain metrics, wants to use the Blockscout API, or needs to build software that retrieves blockchain data via Blockscout. Covers all EVM chains.
Use this skill when the user asks about Goldsky Mirror pipelines — creating, deploying, operating, or troubleshooting Mirror. Triggers on: 'Mirror pipeline', 'goldsky pipeline apply', 'sync subgraph to database', 'mirror vs turbo', 'direct indexing', 'mirror pipeline YAML', 'mirror pipeline pause/stop/restart'. Also use this skill when the user wants to sync a Goldsky subgraph into a database or message queue — Mirror is the only pipeline product that supports subgraph sources. For new pipelines that don't need a subgraph source, the turbo-builder skill is usually a better fit. Do NOT trigger on 'goldsky turbo' commands or generic 'build a pipeline' requests without subgraph context — those belong to the turbo skills.
Builds GraphQL APIs with schema design, resolvers, error handling, and performance optimization using Apollo or Graphene. Use when creating flexible query APIs, migrating from REST, or implementing real-time subscriptions.
Guide Enable Banking Control Panel workflows for account signup, API application registration, sandbox/production setup, dedicated infrastructure selection, browser-generated or externally provided keys, production activation, account-link restricted mode, request logs, application statistics, application sharing, ASPSP status, Data Insights, Mock ASPSPs, and MFA. Use when Codex needs to explain or implement operational steps that depend on Enable Banking Control Panel configuration.
Analyze the writing style characteristics of articles, extract style dimensions and store them in the style material library. It can fuse multiple style materials to generate or update the main style profile (my_style.json). Use this skill when users say "analyze style", "extract writing style", "learn this tone", "analyze my writing style", "absorb this style", "update my style". Even if users just share an article and express interest in its style, consider using this skill.