1.5K skills · sorted by relevance
Fetch execution traces, records of an agent’s actions, from LangSmith Studio to debug LangChain and LangGraph agents. Inspect errors, tool calls, memory operations, execution times, and token usage, or export records for further review.
Optimize and troubleshoot MNN's Hexagon DSP backend, which runs computation on a dedicated processor. The workflow uses device measurements to identify bottlenecks, compare v79 and v81 architectures, verify correctness, and investigate crashes or memory usage.
Use LangSmith to record LLM application inputs, outputs, and timing, investigate failures, evaluate answers against test datasets, and monitor production usage. It also guides automated quality checks and analysis of token usage and costs.
Create reference documentation directly from source code for public functions, classes, command-line commands, and endpoints. Organize parameters, defaults, return values, errors, and runnable examples, then check that the documentation matches the implementation.
Control which GSD skills are available without reinstalling. Switch preset profiles, enable or disable groups of skills, inspect the active selection and estimated token usage, or restore the profile chosen at installation.
Check the `.planning/` directory for missing files, invalid settings, inconsistent state, and orphaned plans. Report issues to address, optionally request repairs, or check context usage—the share of the session’s text capacity already used.
Look up available GSD commands and how to use them. Choose a quick reminder, a one-page overview, a complete reference, or help focused on a single topic.
Work with Apache Beam I/O connectors, components that read and write external data. Get guidance on connector usage, unit and integration tests, troubleshooting data connections, and the basic structure of new connectors.
Review AI agent session logs to document repeated work, departures from plans, delays, and token usage. Produce an evidence-based report with file and line references, and prepare a bug report when appropriate.
Turn existing source code into reusable learning materials. This skill identifies architectural patterns and implementation techniques, then organizes them into a SKILL.md with structured metadata, explanatory code templates, practical examples, and validation steps.
Track competitors' public pricing in a consistent format across repeated reviews. Compare prices, plans, feature access, usage limits, and free offers with previous records, then report documented changes and possible strategic signals with URLs and dates.
Analyze product usage in PostHog and manage experiments, dashboards, surveys, and feature flags, which control feature availability. Use connected tools to investigate user behavior and errors, run queries, and summarize findings with numbers and links.
Analyze Mixpanel data with Python to explore usage trends, conversion steps, returning users, and differences between user groups. Also manage business context documents that explain an organization's structure and goals to AI assistants.
Design processes to retain customers and grow revenue from existing accounts. Use product activity and customer relationships to define risk signals, upgrade opportunities, onboarding steps, renewal schedules, and follow-up plans for previously lost sales opportunities.
Configure coding agents, AI SDKs, and HTTP clients to send model requests through AntSeed’s local proxy. Find available providers and models, select a provider, set compatible API endpoints, and verify request usage and payment activity.
Coordinate Cloud Claw workflows from launching an agent deployment to managing its virtual machine. It routes work to focused skills for setup, starting and stopping machines, viewing logs, renewing usage, and accessing dashboards through local altllm commands.
Create, edit, and troubleshoot Typst documents, a system for producing formatted documents from text files. Uses bundled documentation to check syntax and styling, with formatting checks and compilation when the required tools are available.
Audit a Claude Code installation for the cache issues documented in this skill. Check versions, configuration files, session resume usage, and installed binaries, then report exposure, suggested actions, and informational limits on tool result retention.
Inspect production AI agents in FailproofAI Cloud using the fp CLI. Review errors, run histories, quality scores, and usage, then manage issues, audits, user access, and scoped API keys for the team's deployment.
Choose diagnostic tools and collect performance traces for production .NET problems such as high CPU usage, memory growth, or slow requests. Get environment-specific collection commands and guidance on which tools to use for later analysis.
Guide gh-aw release preparation and assess whether command-line changes break existing usage. The reference covers changesets, which record release changes, version previews, release steps, firewall log classification, and summaries of Go module usage.
Turn a recurring workflow into an agent skill, or improve an existing one. Draft instructions, compare test outputs against a baseline, review quality and resource usage, and refine the description that determines when the skill is invoked.
Inspect Agent activity in Observal through execution records, sessions, ratings, logs, and insight reports. Use the evidence to investigate telemetry problems, costs, and performance regressions, then identify practical next steps while accounting for limited data.
Check and manage bb cloud, the hosted service for thread titles, commit messages, and voice transcription. Inspect account readiness and daily spending, switch the service on or off, and troubleshoot unavailable features or exhausted usage limits.