Loading...
Loading...
Found 5,657 Skills
Guides the agent through setting up and using push notifications in Capacitor apps using Firebase Cloud Messaging via the @capacitor-firebase/messaging plugin. Covers Firebase project setup, plugin installation, platform-specific configuration (Android, iOS, Web), APNs certificate setup, requesting permissions, retrieving FCM tokens, listening for notifications, topic subscriptions, notification channels, and testing. Do not use for local notifications, non-Firebase push providers, migrating Capacitor apps or plugins, or non-Capacitor mobile frameworks.
Scoring formulas and analytical frameworks for GitHub workflow agents. Covers repository health scoring (0-100, A-F grades), priority scoring for issues/PRs/discussions, confidence levels for analytics findings, delta tracking (Fixed/New/Persistent/Regressed), velocity metrics, contributor metrics, bottleneck detection, and trend classification. Use when computing scores, tracking remediation progress, building prioritized dashboards, or detecting workflow bottlenecks.
Guides the agent through migrating SQLite and SQL-style Capacitor plugins to @capgo/capacitor-fast-sql. Use when replacing bridge-based SQL plugins, adding encryption, preserving transactions, or moving key-value storage onto Fast SQL. Do not use for non-SQL storage, generic app upgrades, or plugins that already wrap Fast SQL.
Checkpoint - Pre-publish review with multi-layer deep analysis. Triggers: Preparing to publish an npm package, requiring pre-release review, or checking code change quality. Review Layers: - Per-Change: In-depth analysis of each change group (up to 10 Agents) - Holistic: Parallel review by 5 roles (Architecture/Development/Testing/Security/Documentation) - Synthesis: 1 Agent summarizes review results Commands: - /把关 - Start pre-publish review - /把关 check - Check unpublished changes - /把关 version - Recommend version upgrade - /把关 report - Generate review report - /review - English command Capabilities: Unpublished change detection, in-depth per-change analysis, multi-role review, version recommendation, release risk assessment.
This skill should be used when the user asks to "share memory between agents", "KV cache compaction for multi-agent", "orchestrator worker context", "latent briefing", "reduce worker tokens", "cross-agent memory without summarization", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.
Integrate InFlow stablecoin payments into any project. Use this skill when the user wants to: accept payments, add a checkout, request a payment, build a payment flow, integrate InFlow, accept USDC/USDT/EURC/PYUSD, set up consumer login via InFlow, register users with InFlow, handle payment webhooks, create spending policies for autonomous agents, build a 0-click headless payment flow, or add InFlow checkout to a marketplace app (note: native multi-recipient splits are not supported by the InFlow API). Also trigger on: 'add inflow', 'inflow payment', 'inflow checkout', 'stablecoin payment', 'crypto payment', 'accept stablecoins', 'pay with usdc', 'inflow webhook', 'inflow login', 'inflow policy'.
Move completed local GitHub issue work to a ready-for-merge pull request. Use when development is complete, the user says finish PR, publish this branch, open a ready PR, or an agent has objective evidence the branch is ready for review.
Review generated or changed production code before it ships, using Clean Code, SOLID, DRY, KISS, YAGNI, and LLM-specific failure-mode checks in any programming language. Best used reactively after an agent writes, edits, refactors, or fixes code, before presenting, committing, or merging the result. Use when the user asks "review this PR", "is this safe to merge?", "make this cleaner", "audit this code", "refactor this", "fix this bug", or after a coding agent produced implementation code. Can also guide writing when explicitly invoked before a risky edit. DO NOT USE for factual/conceptual questions, CI/tooling config, git workflow, running/debugging tests, pure architecture discussion, prose writing, data analysis, or test-code review (use test-guard).
The base44 SDK is the library to communicate with base44 services. In projects, you use it to communicate with remote resources (entities, backend functions, ai agents) and to write backend functions. This skill is the place for learning about available modules and types. When you plan or implement a feature, you must learn this skill
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
Run Intent validation and sync checks. Triggers intent-validate and intent-sync agents. Use /intent-check for full check, or /intent-check --validate/--sync for specific checks.
Creates custom agents, workflows, and templates for BMAD. Extends BMAD functionality with domain-specific components. Trigger keywords - create agent, create workflow, custom skill, extend BMAD, new template, customize, scaffold skill