Packs

4 packs

.Agent from Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI.

100 skills · pack

Create AGENTS.md

Generate a comprehensive AGENTS.md file for AI coding agents with project context and setup commands.

10 skills · pack

Skill Authoring Toolkit

For developers creating and maintaining skills for AI coding agents.

17 skills · pack

The shared foundation of the Han suite: the specialist agent roster the other plugins dispatch, the project-discovery skill with its project-scanner agent, and the canonical evidence and YAGNI rule files. The documentation skills live in han-documentation, the pre-planning research skills in han-research, the planning skills in han-planning, and the coding skills in han-coding; each depends on han

2 skills · pack

Results for “coding-agent”

15 skills

Creates, updates, or optimizes an AGENTS.md file for a repository with minimal, high-signal instructions covering non-discoverable coding conventions, tooling quirks, workflow preferences, and project-specific rules that agents cannot infer from reading the codebase.

Mines SpecStory coding histories from any agent into a persistent corpus, surfaces reproducible workflows with corroborated evidence, and interactively forges chosen ones into skills installed across agent harnesses.

Compares coding agents head-to-head on reproducible tasks, measuring pass rate, cost, time, and consistency.

Compare coding agents head-to-head on reproducible tasks with pass rate, cost, time, and consistency metrics.

Measures whether coding agents actually follow skills, rules, or agent definitions by generating test scenarios, running agents, and classifying tool calls to report compliance rates.

sakamoto-family-smile

claude-devfleet

Orchestrate multi-agent coding tasks via Claude DevFleet: plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.

More results

Spawns GLM-5 powered teammates with thinking mode for coding, review, testing, planning, and research tasks.

Creates or modifies OpenAI Agents SDK tools with Zod parameters, caching, metrics, and agent registration, following established patterns and best practices.

Operate inside a CodeGrid pane, drive the workspace from outside, and coordinate multi-agent workflows with local IPC.

Automatically measures whether coding agents follow skills, rules, or agent definitions by generating scenarios at multiple prompt strictness levels, running agents, classifying tool calls, and reporting compliance rates with full timelines.

Spawns GLM-5 powered teammates with native thinking mode for coding, review, testing, planning, and research tasks.

continual-learning

Implements a continual learning loop for AI coding agents using hooks, two-tier memory (global and local), and automatic pattern detection to persist and apply learnings across sessions.

harness-engineering

Prevent repeated AI coding-agent mistakes by turning failures into durable instructions, drift checks, regression tests, failure memory, and adoption reports tailored to the target repository.

Discover, find, compare, audit, repair, adapt, craft, run, debrief, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop...

Install, configure, and extend Pi, a terminal coding harness, with support for custom providers, models, extensions, skills, packages, themes, SDK integration, RPC mode, JSON event streams, and ecosystem packages for subagent delegation, MCP servers, interactive forms, and web access.

30.2k · bundle