Browse 5,831 Fullstack & Backend Engineering — Agentic Skills

Manage Apple Reminders via remindctl CLI (list, add, edit, complete, delete)

Track GitHub repository releases and generate prioritized summaries.

A high-fidelity automation bridge for macOS (Darwin) that enables agents to perceive the desktop state and execute.

Automate QFC (qfc.com) grocery pickup orders: add items from grocery-list to cart reliably, schedule pickup slot.

Convert one or multiple documents to PDF by uploading them to Cross-Service-Solutions, polling until completion.

Post to X (Twitter) using the OpenTweet API.

Give your agent eyes on the web — screenshot any URL as an image file.

Automate common Word/WPS document operations on Windows via COM (read text, replace, insert, headings.

Fast & safe Apple Mail search with body.

Personal knowledge base for capturing and retrieving information about people, places, restaurants, games, tech.

*A framework for self-sustaining AI agent teams.*.

Auto-generate beautiful changelogs from git history, grouped by conventional commit types.

Structured long-term memory for OpenClaw agents, powered by [maasv](https://github.com/ascottbell/maasv).

Browse and search the AgentAPI directory - a curated database of APIs designed for AI agents.

Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.

Persistent per-project memory for Claude Code (Context Keeper) driven by deterministic Node.js /ck commands: init, save, resume, info, list, forget, and v1-to-v2 migrate, plus a SessionStart hook that injects a compact project brief. Use when context must survive across sessions, saving session state with next steps and decisions, resuming where a previous session left off, or picking up a project without re-explaining it.

Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits.

Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing. Use when Swift code needs testing and file system, network, or external APIs must be mocked.

Pi-hole installation, blocklist management, DNS-over-HTTPS setup, DHCP integration, local DNS records, and troubleshooting broken DNS resolution on a home network. Use when the task explicitly involves Pi-hole — installing it, managing blocklists, configuring DoH or DHCP, adding local DNS records, or diagnosing DNS resolution with Pi-hole in the path.

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Use when running an agent loop that must self-check, gate on evals, and recover from failures.

Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness. Use when verifying a Laravel project before merge or deploy — lint, static analysis, tests, coverage, security.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction. Use when a session is approaching a context limit and a task phase is a natural place to compact.

Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses. Use when building a task-local harness, adding eval gates, or extracting a reusable skill from ad-hoc work.

Eval-driven development (EDD) framework for AI coding sessions — define capability and regression evals before coding, grade with code-based, model-based, rule, or human graders, and track pass@k and pass^k reliability. Use when defining pass/fail criteria for agent tasks, measuring agent reliability, building regression suites for prompt or agent changes, or benchmarking across model versions.