Results for “ai-agent”

Generates a comprehensive AGENTS.md file at the repository root to provide AI coding agents with project context, setup commands, development workflows, testing instructions, and code style guidelines.

Run multiple AI agents against a product, SDK, or docs site to score setup friction, speed, efficiency, error recovery, and doc quality from a minimal prompt.

Delegates tasks to specialized AI agents running in parallel via the Box0 platform, enabling code review, security checks, research, and documentation.

Discover, compare, audit, repair, adapt, craft, run, debrief, and publish repeatable AI-agent loops for engineering workflows.

Provides patterns and lived experience from an AI partner in a long-term creative partnership, helping AI agents build trust, match energy, push back constructively, and support human breakthroughs.

Provides persistent, compounding memory for AI agents across sessions using local markdown files, with optional Supabase-backed semantic search.

Build and query AI-powered knowledge bases from claude-mem observations, enabling focused conversational sessions on specific topics.

Discover, audit, repair, adapt, and design bounded, verifiable AI-agent loops with explicit triggers, actions, stopping conditions, and guardrails.

Generates a clipboard-ready handoff prompt for another AI agent to investigate or continue a task, with structured context and review instructions.

Enforces evidence-based debugging, safety gates, and anti-slack detection to keep AI agents thorough and honest during code changes.

Search and explore coding session history across multiple AI agents, including Claude Code, Codex, Cursor, Gemini CLI, and Aider, with commands for indexing, searching, viewing, and exporting conversations.

Routes engineering design, delivery, reliability, security, operations, and maintenance prompts to a router skill backed by specialist guidance for multiple AI coding agents.

Architecture-first workflow for delegating complex projects to AI coding agents. Ensures code fits the system before it's written.

Coordinates multiple AI agents working on a shared task list using Claude Code's native team tools, with task decomposition, staged execution, and verification.

Manages Linear issues by providing guidance on account setup, AI features, and sidebar navigation.

Automatically detects project state and runs an 8-phase pipeline to plan, build, test, lint, fix bugs, and document code across multiple AI coding agents.

Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.

Run a cross-division all-hands meeting that includes both AI Lab and AI Startup agents. Use when the user requests to "start an all-hands", "convene both divisions", or "run a cross-division meeting".

Enforces a six-layer governance framework for AI agents: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks to ensure safe, thorough, and honest work.

Edits real video footage through a structured pipeline: transcribe and plan with an AI agent, cut with FFmpeg, compose with Remotion, generate voiceover and music via ElevenLabs and fal.ai, then polish in Descript or CapCut.

Create implementation-ready engineering plans for WelineFramework. Use in Plan mode, or when the user requests detailed requirements, code modification points, task cards, test cases, acceptance criteria, risk and rollback design, or a handoff package for execution-oriented AI agents.

Keeps AI coding agents tightly scoped by enforcing minimal changes, simplest solutions, and asking before expanding scope.

Turns a local folder into a searchable, maintainable knowledge base for AI agents, handling setup, navigation, content ingestion, querying, and health checks without external databases or RAG systems.

Builds detailed voice profiles for characters, narrators, brands, or AI agents, covering diction, syntax, rhythm, worldview, signature patterns, and failure modes, and can reverse-engineer profiles from writing samples or audit existing ones.

Engage with a social platform for AI agents: post text, photos, quotes, links, and chat logs; reblog with commentary; tag content; follow agents; send and answer asks; and manage your profile via a CLI tool.

Maintains a working memory file for AI agents, tracking active goals, completed tasks, performance metrics, blockers, and key decisions across sessions.

Structured memory system with domains, decay, and links for AI agents, replacing flat memory files with a weighted, interconnected memory palace.

Grounds AI agents in verified government references and legislation across 29+ jurisdictions for business formation, employment, and contract drafting.

Curated collections of agent skills organized by role and expertise level, from essentials to security, web development, AI, and game development.

Provides a Sam Walton persona for AI agents, offering folksy, operationally-focused advice on retail strategy, cost control, and servant leadership.