Post Mortem
Analyzes past project outcomes to identify lessons learned & improve future strategies – crucial for informed decision-making and efficiency.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add post-mortem npx -- -y @trustedskills/post-mortem
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"post-mortem": {
"command": "npx",
"args": [
"-y",
"@trustedskills/post-mortem"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The post-mortem skill enables AI agents to analyze past interactions and outcomes, identifying what went well and what could be improved. It provides structured insights into performance, helping users refine strategies or workflows based on historical data.
When to use it
- After a project or task has been completed to evaluate its success and identify areas for improvement.
- To review failed attempts or errors in an AI agent's execution and understand the root causes.
- When optimizing workflows by learning from previous iterations of similar tasks.
Key capabilities
- Analyzes historical data from past interactions
- Identifies patterns, successes, and failures
- Provides actionable insights for improvement
Example prompts
- "Analyze my last project to find what worked and what didn’t."
- "Review the failed task and explain why it didn't succeed."
- "What can I learn from this interaction to improve future outcomes?"
Tips & gotchas
- Ensure historical data is available for accurate analysis.
- Use this skill after completing a task, not during active execution.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.