Project Development Assistant for Openclaw

A professional development companion for structured project logging, status tracking, and session archival designed to minimize AI chat clutter.

gongtengkeji
v1.0.0
Mar 23, 2026
0
986
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install project-development-assistant

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install project-development-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Project Development Assistant?

The Project Development Assistant is a specialized tool within the Openclaw Skills ecosystem designed to manage the lifecycle of software and hardware projects. It prioritizes a clean, anti-spam interface by redirecting verbose logs and status updates to structured files rather than flooding the chat window. This approach ensures that developers can interrupt and resume work at any time without losing context.

By utilizing a structured .project_state.json file and a dedicated session archival protocol, the skill allows AI agents to maintain high performance even as project complexity grows. It serves as a bridge between active coding sessions, ensuring that critical technical decisions, open issues, and next steps are preserved across multiple AI interactions.

Project Development Assistant Use Cases

  • Initializing new technical projects with a standardized directory structure and state tracking.
  • Resuming complex development tasks across different AI sessions without context loss.
  • Recording progress, errors, and milestones silently to maintain a clean workspace.
  • Generating automated project briefings and status reports for multi-project management.
  • Archiving long-running chat sessions into markdown summaries to bypass LLM context window limits.

How Project Development Assistant Works

  1. Activation: The skill triggers on specific commands like create project or continue project to prevent accidental activation during casual chat.
  2. State Management: It maintains a .project_state.json file as the source of truth for the project's current task, issues, and milestones.
  3. Silent Logging: Progress and logs are written directly to files; the AI only provides a single-line summary unless the --show flag is used.
  4. Session Archival: When a conversation becomes too long, the skill extracts key conclusions and background into a session markdown file.
  5. Context Restoration: Upon starting a new session, the AI reads the latest archival file and state JSON to immediately regain full project awareness.

Project Development Assistant Setup

To use this assistant within the Openclaw Skills framework, ensure you have the required Python environment. Use the following commands for initialization:

# Initialize a new project structure
python log_project.py -a new -p /path/to/project -n ProjectName

# Log a silent update
python log_project.py -a log -p /path/to/project -m "Task completed" -c INFO

# Check project status
python log_project.py -a state -p /path/to/project

Project Development Assistant Data Schema & Taxonomy

The skill organizes data into a clean hierarchy to ensure scannability and long-term maintenance:

Directory/File Description
logs/ Daily development logs for granular tracking
sessions/ Markdown files for long-term session archival (session_latest.md)
.project_state.json Structured JSON containing current_task, open_issues, and next_steps
briefings/ JSON snapshots of project progress for high-level overviews
PROJECT_INFO.md Core project documentation and metadata

Project Development Assistant Advanced Features

  • Anti-Spam Logic: Automatically restricts script output to under 3 lines for a cleaner UI experience.
  • Session Archival Protocol: Actively triggers archival when messages exceed 50 or context limits are approached.
  • Multi-Category Logging: Supports INFO, ERROR, FIXED, PROGRESS, WARNING, and SUCCESS tags for intelligent filtering.
  • Recursive Structure Mapping: View project trees restricted to 2 levels deep for quick navigation without terminal overflow.
  • Automated Resume Check: Includes a check-resume action to identify interrupted tasks across multiple projects.

SKILL.md


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