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Found 7,867 Skills
Create a plan for review: idea branch, plan file, and draft PR. Part of the Plot workflow. Use on /plot-idea.
Verify all implementation is done, then deliver the plan. Part of the Plot workflow. Use on /plot-deliver.
Verify release readiness and guide the release process. Part of the Plot workflow. Use on /plot-release.
Use this skill when writing Go tests with stretchr/testify, implementing TDD workflows, creating mocks, or organizing test suites. Covers assert vs require patterns, interface mocking, table-driven tests, and the red-green-refactor cycle.
Expert in Freshdesk helpdesk API for building integrations, extracting support data, managing tickets/contacts/companies, and automating support workflows. Use when working with Freshdesk, building helpdesk integrations, analyzing support ticket data, or creating customer support applications.
Industry-adaptive B2B newsletter creation with stage, role, and geography-aware workflows
Automate PR workflows. Use before creating PRs. Generates PR descriptions, validates PR requirements, checks for missing tests/docs, and links issues automatically.
Identifies and manages execution dependencies between agent skills by analyzing their inputs and outputs. Use when building multi-step agent workflows to ensure skills are executed in the correct order and that all required data is available.
Deploy Sablier EVM contracts (Comptroller, ERC20 Faucet, Flow, Lockup, Airdrops) with full workflow automation. This skill should be used when the user asks to "deploy", "deploy protocol", "deploy to chain", or mentions deployment-related tasks. Handles contract deployment, explorer verification, SDK updates, and sample data creation through Init script.
Best practices for LLM-assisted coding. Declarative workflows, simplicity, tenacity.
Native Arrow filesystem integration with PyArrow. Optimized for Parquet workflows, zero-copy data transfer, predicate pushdown, and column pruning. Covers S3, GCS, HDFS with PyArrow datasets.
CRITICAL skill for executing multiple runSubagent calls in a SINGLE function_calls block for true parallelism. Essential for efficient multi-task workflows, subagent coordination, and maximizing throughput.