🛠️

Tool

Planning With Files

Name: Planning With Files
Author: OthmanAdi

by OthmanAdi othmanadi/planning-with-files

Free2AITools Nexus Index

65.5

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 62

P: Popularity 71

R: Recency 100

Q: Quality 70

Tech Context

Vital Performance —

Source →

Python Lang

Open Source 27.4K Stars

Alpha Reliability

Tool Information Summary
Entity Passport
Registry ID	othmanadi/planning-with-files
License	MIT
Provider	github

📜

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

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🐙 GitHub Clone

git clone https://github.com/OthmanAdi/planning-with-files

🐍 PIP Install

pip install planning-with-files

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 62

Popularity (P) 71

Recency (R) 100

Quality (Q) 70

💬 Index Insight

FNI V2.0 for Planning With Files: Authority (A:62), 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

📋 Specs

Language: Python
License: MIT
Version: —

CODE

🔌 Usage & Integration

Quick Start

npm install planning-with-files

Technical Documentation

PWF: Every task. Every step. Three planning files on a brass-inlaid base beneath an engraved arch

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. Activated lifecycle hooks inject selected project planning context, so the plan survives context loss, /clear, crashes, and compaction. Automatic recovery reads project files only. Reading same-project local agent session records for aggregate counts or bounded replay requires an explicit catchup mode. Installs across 60+ agents via the Agent Skills standard, with native plugins for Claude Code, Codex CLI, Qoder CLI, Pi, Hermes Agent, OpenCode and DeepSeek Harness.

Social Proof

🐙 Data Source: GitHub ↗

🔄 Updated daily

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

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 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

⚙️ Technical Specs

pipeline tag: other

📊 Engagement & Metrics

downloads: 0
stars: 27,426
forks: 2,269
github stars: 27,426

Data indexed from public sources. Updated daily.