πŸ› οΈ
Planning With Files tool by OthmanAdi
⭐ 65.5
πŸ› οΈ
Tool

Planning With Files

by OthmanAdi othmanadi/planning-with-files
Free2AITools Nexus Index
65.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 61
P: Popularity 71
R: Recency 100
Q: Quality 70
Tech Context
Vital Performance —
Source β†’
Shell Lang
Open Source 26.3K Stars
Alpha Reliability
Tool Information Summary
Entity Passport
Registry ID othmanadi/planning-with-files
License MIT
Provider github
πŸ“œ

Cite this tool

Academic & Research Attribution

BibTeX 
@misc{gh_tool_othmanadi_planning_with_files,
  author = {OthmanAdi},
  title = {Planning With Files Tool},
  year = {2026},
  howpublished = {\url{https://github.com/OthmanAdi/planning-with-files}},
  note = {Accessed via Free2AITools.}
}
APA Style
OthmanAdi. (2026). Planning With Files [Tool]. Free2AITools. https://github.com/OthmanAdi/planning-with-files

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ GitHub Clone
git clone https://github.com/OthmanAdi/planning-with-files
πŸ™ Git Clone
git clone https://github.com/OthmanAdi/planning-with-files

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 61
Popularity (P) 71
Recency (R) 100
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for Planning With Files: Authority (A:61), Popularity (P:71), Recency (R:100), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“‹ Specs

Language
Shell
License
MIT
Version
β€”
Explore Source Node
CODE

πŸ”Œ Usage & Integration

Quick Start

npm install planning-with-files

Technical Documentation

planning-with-files: task_plan.md, findings.md, and progress.md as three stone tablets

Planning with Files

The planning skill your agent cannot ignore.
Not a prompt it might follow. A hook that fires every turn, a plan on disk that survives /clear, and 3 out of 3 blind A/B wins to show it works.

Your agent's context window dies. The plan does not.

Persistent file-based planning for AI coding agents and long-running agent tasks: the skill keeps task_plan.md, findings.md, and progress.md on disk and re-injects them every turn, so the plan survives context loss, /clear, crashes, and compaction. Manus-style working memory on disk, with an opt-in completion gate. Installs across 60+ agents via the Agent Skills standard.

Stars Latest release Skills Playground installs Downloads

Benchmark: 96.7 percent assertion pass rate with skill

Social Proof

GitHub Repository
26.3KStars
2.2KForks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
gh-tool--othmanadi--planning-with-files
slug
othmanadi--planning-with-files
source
github
author
OthmanAdi
license
MIT
tags
claude, claude-code, claude-skills, manus, agent-skills, hermes, hermes-agent, hermes-skill, planning, copilot, copilot-skills, pi, pi-agent, agentic-workflows, ai-agents, autonomous-agents, codex, cursor, multi-agent-systems, python, agentic-ai, coding-agent, context-engineering, developer-tools, github-copilot, llm-agents, long-running-agents, claude-code-skills, context-rot, session-recovery, hermes-plugin, shell

βš™οΈ Technical Specs

pipeline tag
other

πŸ“Š Engagement & Metrics

downloads
0
stars
26,320
forks
2,205
github stars
26,320

Data indexed from public sources. Updated daily.