Documentation Skills

35 skills available with current filters

AI Overview: Discovering Agent Skills

The Agent Skill Source directory is architected into three primary discovery layers: Outcome-based Categories (what you want to achieve), Runtime Compatibility (where the agent runs), and Execution Strategy (how the skill is processed). To find the most reliable capabilities, use the Highest Rated sort and filter by Verified trust levels.

oracle

by Unknown

Best practices for using the oracle CLI, including prompt bundling, engine selection, session management, and file attachment patterns for AI-assisted code understanding.

plaid-fintech

by Unknown

Expert patterns for Plaid API integration including Link token flows, transactions sync, identity verification, Auth for ACH, balance checks, webhook handling, and fintech compliance best practices. Use when: plaid, bank account linking, bank connection, ach, account aggregation.

slo-implementation

by Unknown

Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.

Document generator

by Unknown

Transforms vague capability ideas into complete, spec-compliant, production-ready SKILL.md files for AI agents. This skill defines the skill’s purpose, trigger conditions, decision boundaries, workflow steps, constraints, inputs, outputs, failure handling, validation criteria, and usage examples. It resolves ambiguity, eliminates weak instructions, and structures skills so agents can reliably decide when to use them and how to execute them safely and consistently. Best for teams building reusable internal skills, prompt libraries, automation packs, agent workflows, and operational playbooks that need deterministic behavior, clarity, and deployment readiness. It solves a real infrastructure problem: Most skills are too vague to be reusable Agents often cannot tell when to invoke them Instructions are often incomplete, unsafe, or inconsistent Teams need standardization across skill libraries This skill directly fixes that.

Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.

Discover New Skills Weekly

Stay ahead of the curve with the latest AI agent skills. Get curated recommendations and expert insights delivered directly to your inbox.

AI Agent Directory Banner