Killer-Skills Review
Decision support comes first. Repository text comes second.
Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.
Ideal for Development Agents requiring comprehensive project management capabilities from creation to archival. End-to-end project management from creation through consolidation and archival
Core Value
Empowers agents to manage project lifecycles seamlessly, including creation, registration, consolidation, and archival, leveraging AIfred tracking and context file updates to streamline project workflows.
Ideal Agent Persona
Ideal for Development Agents requiring comprehensive project management capabilities from creation to archival.
↓ Capabilities Granted for project-lifecycle
! Prerequisites & Limits
- Requires access to ~/Code and .claude/projects directories
- Dependent on AIfred tracking for project registration
Source Boundary
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Decide The Next Action Before You Keep Reading Repository Material
Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.
Start With Installation And Validation
If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Cross-Check Against Trusted Picks
If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Move To Workflow Collections For Team Rollout
When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Browser Sandbox Environment
⚡️ Ready to unleash?
Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is project-lifecycle?
Ideal for Development Agents requiring comprehensive project management capabilities from creation to archival. End-to-end project management from creation through consolidation and archival
How do I install project-lifecycle?
Run the command: npx killer-skills add davidmoneil/AIfred/project-lifecycle. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for project-lifecycle?
Key use cases include: Automating project creation and registration with AIfred tracking, Consolidating project knowledge and updating documentation, Managing project priorities and context files for efficient tracking.
Which IDEs are compatible with project-lifecycle?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for project-lifecycle?
Requires access to ~/Code and .claude/projects directories. Dependent on AIfred tracking for project registration.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add davidmoneil/AIfred/project-lifecycle. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use project-lifecycle immediately in the current project.
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
project-lifecycle
Install project-lifecycle, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.