Total 55,943 skills
Showing 12 of 55943 skills
WhatsApp Business automation - customer support, notifications, chatbots, and broadcast messaging
Use the Flutter team's recommended app architecture
Build, test, and deploy DeFi trading strategies using the Almanak SDK. ALWAYS use this skill when the user mentions almanak, DeFi strategy, trading strategy, yield farming, liquidity provision, token swap, borrowing, lending, perpetuals, staking, vault deposit, bridging tokens, backtesting, paper trading, or on-chain execution. Use for writing strategy.py files, composing intents (Swap, LP, Borrow, Supply, Perp, Bridge, Stake, Vault, Prediction), working with config.json strategy parameters, running almanak strat or almanak gateway CLI commands, or debugging strategy execution on Anvil forks. Do NOT use for general smart contract development, Solidity code, or non-strategy SDK internals.
Iteratively review changes, run automated tests, and apply targeted fixes until issues are resolved (or a stop condition is reached).
Used when a Spec Pack is completed, reusable assets need to be promoted to the project SSOT (ADR/contract/ops/NFR/registry), and there are risks of "contaminating the project with full package replication / skipping spec-context / mistaking merge-back for git merge".
Retrieve staging credentials/JWT token for the Aircall dashboard
Performance attribution, trade analytics, and strategy optimization
Lambda Layer Creator - Auto-activating skill for AWS Skills. Triggers on: lambda layer creator, lambda layer creator Part of the AWS Skills skill category.
Diagnose weak endings, rushed resolutions, and arbitrary conclusions. Use when stories build well but end disappointingly, when climax feels unearned, or when resolution doesn't complete character arcs.
Transform overwhelming development tasks into manageable units. This skill should be used when the user says 'task too big', 'can't estimate', 'overwhelmed by scope', 'where do I start', 'epic needs breakdown', or has dependency problems. Keywords: decomposition, breakdown, estimate, scope, INVEST, vertical slice, spike, dependencies.
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Apply when concurrent actors might write to the same file, branch, key, or state object. Eliminate the sharing first; serialize structurally only when one shared writer is a real invariant.