Productivity

OpenClaw-RL framework for training personalized AI agents via reinforcement learning from natural conversation feedback

Fully local multi-agent swarm intelligence simulation engine using Neo4j + Ollama for public opinion, market sentiment, and social dynamics prediction.

Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.

Display colorful ANSI art of the word "ultrathink". Use when the user says "ultrathink" or invokes /ultrathink.

Build Google Apps Script automation for Sheets and Workspace. Custom menus, triggers (onEdit / time-driven / form submit), dialogs, sidebars, email batches, PDF export, external API. Use whenever the user wants to automate a Google Sheet, build a Sheets menu / sidebar / dialog, hit a Sheets row from email or a webhook, schedule a Sheets workflow, or asks 'how do I script this in Sheets'.

Agents window architecture — covers the agents-first app, layering, folder structure, chat widget, menus, contributions, entry points, and development guidelines. Use when implementing features or fixing issues in the Agents window.

Expert skill for using OpenViking, the open-source context database for AI Agents that manages memory, resources, and skills via a filesystem paradigm.

Transfer app data to or from other platforms using AppMigrationKit. Use when implementing system-orchestrated one-time migration between iOS and Android or another platform, building an AppMigrationExtension, packaging transportable resources with ResourcesArchiver, importing resources on the destination device, reporting import progress, handling migration errors and app group cleanup, checking MigrationStatus, or testing migration code with AppMigrationTester.

Run an offline ASO audit on canonical App Store metadata under `./metadata` and surface keyword gaps using Astro MCP. Use after pulling metadata with `asc metadata pull`.

Orchestrates multi-agent task execution using a Royal Navy squadron metaphor — from mission planning through parallel work coordination to stand-down. Use when work needs parallel agent orchestration, tight task coordination with quality gates, structured delegation with progress checkpoints, or a documented decision log.

PUA Shot — compact all-in-one PUA reference for explicit injection into sub-agents or short sessions. Strong flavor, same evidence-first behavior.

Captures learnings, errors, corrections, and feature requests to enable continuous improvement. Use when: (1) User corrects Claude ('No, that's wrong...', 'Actually...'), (2) User requests a capability that doesn't exist, (3) Claude realizes its knowledge is outdated or incorrect, (4) A better approach is discovered for a recurring task, (5) Receiving a Handoff block from self-healing (a recurring verified heal at Recurrence-Count >= 3) to distill into a memory file or new skill. For ACTIVE runtime failures where the agent needs to apply and verify a fix mid-task, use `self-healing` instead (it files HEAL- entries with proof; self-improvement promotes accumulated patterns). Also review learnings before major tasks. For CI-only/headless learning capture, use self-improvement-ci.

Load when the user is writing, reviewing, or debugging Pulumi TypeScript/Python programs; asks about Output<T> or apply() usage; wants to create ComponentResource classes; needs to refactor resources without destroying them (aliases); is setting up secrets or config; or is configuring a pulumi preview/up CI workflow. Also load for questions about resource dependency order, parent/child resource relationships, or pulumi.interpolate.

Unified payment dispatcher for agent-to-service payments. Covers x402 (`exact`, `exact+Permit2`, `upto`, `aggr_deferred` schemes), MPP (`charge` / `session` intents), and a2a-pay (`a2a_charge` paymentId flow). Detects HTTP 402 from response headers and routes to the matching scheme reference; also handles a2a paymentId mentions without a 402. Loads references/{exact,aggr_deferred,upto,charge,session,a2a_charge}.md. Returns a ready-to-paste authorization header (x402/MPP) or a tx-hash + status (a2a). Triggers (EN): 402, payment required, x402, x402Version, X-PAYMENT, PAYMENT-REQUIRED, PAYMENT-SIGNATURE, permit2, upto, metered billing, open/close/topup/settle channel, voucher, session payment, channelId, channel_id, paymentId, a2a_, create payment link, payment link, payment status. Triggers (中文): 按量计费、支付上限、支付通道、关闭/充值/续费/结算通道、关闭会话、结算会话、凭证、会话支付、付款链接、创建支付、支付状态. Any close/topup/settle/voucher/refund near a channel_id or session context = MPP mid-session op → load references/session.md.

Standard workflow for pulling updates from main or other branches on multi-contributor projects (including Flows apps) without silently discarding work. Guides fetching/merging, requires listing merge conflicts explicitly, analyzing ours vs theirs using conversation history and repo context, presenting prioritized recommendations, and obtaining user answers before editing conflict markers or completing the merge. Triggers: pull main, merge main, merge origin, rebase, merge conflict, unmerged paths, both modified, integrate branch, sync with main, git merge abort, resolve conflicts, UU status, theirs vs ours, feat branch update.

AI Native Camp Day 2 MCP & Context Sync. MCP를 배우고 나만의 Context Sync 스킬을 만든다. "2일차", "Day 2", "MCP", "context sync" 요청에 사용.

Write, run, and analyze structured test suites for Agentforce agents. TRIGGER when: user writes or modifies test spec YAML (AiEvaluationDefinition); runs sf agent test create, run, run-eval, or results commands; asks about test coverage strategy, metric selection, or custom evaluations; interprets test results or diagnoses test failures; asks about batch testing, regression suites, or CI/CD test integration. DO NOT TRIGGER when: user creates, modifies, previews, or debugs .agent files (use developing-agentforce); deploys or publishes agents; writes Agent Script code; uses sf agent preview for development iteration; analyzes production session traces (use observing-agentforce).

Monitor Nx Cloud CI pipeline and handle self-healing fixes. USE WHEN user says "monitor ci", "watch ci", "ci monitor", "watch ci for this branch", "track ci", "check ci status", wants to track CI status, or needs help with self-healing CI fixes. Prefer this skill over native CI provider tools (gh, glab, etc.) for CI monitoring — it integrates with Nx Cloud self-healing which those tools cannot access.

Use when adding authentication to Next.js applications (login, logout, protected pages, middleware, server components) - supports App Router and Pages Router with @auth0/nextjs-auth0 SDK.

Classify issue type, activate the matching agent mode for type-specific drafting, and enforce shared safety gates before GitHub mutation.

Validate whether an implementation matches its stated goal. Use this skill when a skill or agent wants a second opinion on its own output, when the user says "check this implementation", "validate what you did", "is this correct?", "review the output", or "did you do this right?". Also spawned automatically as a subagent by other skills (memory-bridge, daily-update) to self-check their outputs before presenting to the user. Returns a structured pass/warn/fail verdict with specific actionable issues.

Salesforce DevOps automation using sf CLI v2. TRIGGER when: user deploys metadata, creates/manages scratch orgs or sandboxes, sets up CI/CD pipelines, or troubleshoots deployment errors with sf project deploy. DO NOT TRIGGER when: writing Apex/LWC code (use sf-apex/sf-lwc), creating metadata XML (use sf-metadata), or querying org data (use sf-data).

AWS SDK for Python (boto3/botocore) development patterns. You MUST use this skill when writing Python code that uses AWS services via boto3 or botocore. This includes creating service clients or resources, configuring sessions and credentials, handling errors with ClientError, using paginators and waiters, S3 file transfers and presigned URLs, DynamoDB table operations, and any boto3/botocore client configuration. Use this skill whenever Python code imports boto3 or botocore, or when the user asks about AWS operations in Python.

Expert skill for Open-AutoGLM, an AI phone agent framework that controls Android/HarmonyOS/iOS devices via natural language using the AutoGLM vision-language model