Sign in
← Back to search
github Actively maintained

Leonxlnx/unlazy

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

1 awesome list

Quick read

Stars
3,139
Forks
205
Open issues
0
Commits
49

Activity and growth

Latest capture 2026-09-07 10:53

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
0
Stored snapshots
1

Classification

Topics

#ai-agents #claude #claude-code #llm #productivity #prompt-engineering #skill

Metadata

Language
JavaScript
License
MIT
Default branch
main
Created
2026-08-09
First commit
2026-08-09
Last pushed
2026-09-03
GitHub updated
2026-09-07
Last synced
2026-09-07 10:53
Stack scanned
2026-09-07 10:53
Archived
No
Sign in to like Leonxlnx/unlazy
README View on GitHub

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

1 observed capture since 2026-09-07. Observed captures are shown by default.

Stars from first capture 0

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

muratcankoylan/Agent-Skills-for-Context-Engineering

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.

17,953 stars
Python 2 awesome lists

0xmariowu/AgentLint

The linter for your agent harness. Works with Claude Code, Codex, and Cursor.

55 stars
Shell 1 awesome list

anil-dewani/Continuous-Claude-v3

Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.

1 stars
0 awesome lists

AgriciDaniel/claude-ads

Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.

9,310 stars
Python 0 awesome lists

AminBlg/SimpleEnglish

Agent skill: make LLMs write docs in ASD-STE100 Simplified Technical

3,158 stars
Python 1 awesome list