Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.

Use when writing or reviewing C# code in this repo that calls Deepgram Text Intelligence / Read (`/read`) for sentiment, summarization, topic detection, and intent recognition on text or hosted text URLs. Covers `ClientFactory.CreateAnalyzeClient()` with `AnalyzeText`, `AnalyzeUrl`, and `AnalyzeFile`. Use `deepgram-dotnet-audio-intelligence` when the source is audio instead of text.

iMessage/SMS CLI for listing chats, reading message history, watching for new messages, and sending messages. Triggers on: check messages, read imessage, send text, imsg, message history, sms, who texted me.

Canonical joelclaw mail coordination protocol for all agents. Use when announcing work, checking inboxes, reserving files, releasing locks, handling task handoffs, triaging stale reservations, or auditing coordination quality. Triggers on: 'clawmail', 'agent mail', 'joelclaw mail', 'reserve files', 'release locks', 'handoff', 'agent coordination', 'mail status', or any multi-agent collaboration workflow.

Configure and operate the Neo4j Connector for Kafka (sink + source) and the native Neo4j CDC API. Covers Cypher/Pattern/CUD sink strategies, CDC-based and query-based source, exactly-once semantics, DLQ error handling, Confluent Cloud managed connector, schema registry (Avro/JSON), and native db.cdc.query cursor-loop patterns (Neo4j 5.13+ Enterprise/Aura BC/VDC). Use when streaming Kafka events into Neo4j, streaming Neo4j changes to Kafka, or querying Neo4j change events without Kafka. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle bulk CSV/file import — use neo4j-import-skill. Does NOT handle GDS algorithms — use neo4j-gds-skill.

Neo4j .NET Driver v6 — IDriver lifecycle, DI registration (singleton), ExecutableQuery fluent API, ExecuteReadAsync/ExecuteWriteAsync managed transactions, IResultCursor (FetchAsync/ ToListAsync), record value access (.Get<T>/As<T>), null safety, UNWIND batching, temporal types, await using, EagerResult, object mapping, CancellationToken, error handling, and common traps. Use when writing C# or .NET code connecting to Neo4j. Also triggers on Neo4j.Driver, IDriver, ExecutableQuery, ExecuteReadAsync, ExecuteWriteAsync, IResultCursor, IAsyncSession, or any Bolt/Aura work in .NET/C#. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover driver version upgrades — use neo4j-migration-skill.

Create, update, or supersede architecture decision records under `architecture-decisions/`. Use when the user asks for ADR work or a Spec Loop workflow routes ADR writing.

Control Sonos speakers (discover/status/play/volume/group).

Control Sonos speakers (discover/status/play/volume/group).

Installs, configures, audits, and operates Agent Package Manager (APM) in repositories. Use when initializing apm.yml, installing or updating packages, validating manifests, managing lockfiles, compiling agent context, browsing MCP servers, setting up runtimes, or packaging resolved context for CI and team distribution. Don't use for writing a single skill by hand, generic package managers like npm or pip, or non-APM agent configuration systems.

Answer questions about a brand's Meta ads (spend, results, which ad is winning, is it paused, why did Goose do that) only from reads made in the same turn, with the data window and sync time on every number and a plain caveat when the connection is stale or partial. Use it whenever a user asks how their ads are doing or why an ad action was taken.

Discover top LinkedIn influencers and voices by topic, industry, follower count, and country. Use when you need to find the top 100 voices in a space, build influencer lists for outreach, or identify thought leaders on LinkedIn.

Search and scrape Twitter/X posts using Apify. Use when you need to find tweets, track brand mentions, monitor competitors on Twitter, or analyze Twitter discussions. Uses Twitter native search syntax (since:/until:) for reliable date filtering.

Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch. Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback from review sites.

Analyze, standardize, validate, and sync locally maintained skills into agent skill directories with a `skills` CLI-aligned workflow. Use this skill when Codex needs to turn ad-hoc prompt or rules folders into reusable `SKILL.md`-based skills, install or sync one or more local skills from `./skills` into Claude, Cursor, CodeBuddy, Codex, or similar agent directories, or manage local skill path mappings and symlink or copy installation behavior.

Verifies product attributes on a web shop detail page by extracting price, comparing color availability, validating specifications, and confirming option selections against user requirements before purchase. Use when you need to check if a product matches requirements, verify product details before buying, confirm item specifications on an online store product page, or validate that price, color, size, or other attributes satisfy the user's constraints. Outputs a `Thought:` assessment followed by a `click[value]` action to select the matching option and proceed, or navigates back to search if the product does not match.

This skill locates and picks up a specified tool or instrument from the environment. It should be triggered when a task requires a specific tool (e.g., thermometer, stopwatch) for measurement or manipulation. The skill identifies the tool's location via observation and executes a pick-up action, moving the tool to inventory.

Use when the agent needs to direct attention to a specific object in the environment or inventory before performing a critical action such as measuring, using, or connecting. This preparatory "focus on" step signals intent to the ScienceWorld system, often unlocking required state changes for subsequent interactive steps in experimental procedures.

This skill connects two electrical components (e.g., wires, batteries, devices) by their terminals to build or modify a circuit. Use when constructing electrical setups for testing, such as conductivity checks or device activation. The input includes two component identifiers and their connection points, and the output is an established electrical connection.

Use when the agent needs to check whether an ALFWorld task objective has been met after completing a sub-action (e.g., placing an object). This skill parses the task goal, evaluates the latest environment observation, and outputs a verification decision — task complete, task incomplete, or action ineffective — to guide the next step.