# reflect

> reflect — rohansx-reflect. Use this tool when you need to improve the accuracy and efficiency of AI coding agents by learning from their failures. It solves the problem of repeated mistakes by turning failures into persistent, searchable lessons that can be applied across sessions. The reflect tool takes in coding failures as input and outputs corrected code and searchable lessons, ideal for use in iterative coding and debugging contexts.

Canonical page: https://skillsregistry.net/skills/rohansx-reflect  
JSON: https://api.skillsregistry.net/v1/skills/rohansx-reflect

## Description

Self-correction engine for AI coding agents - implements the Reflexion paper (Shinn et al., 2023) as a Rust MCP server. Turns failures into persistent, searchable lessons that prevent the same mistakes across sessions.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rohansx/reflect)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rohansx-reflect"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rohansx-reflect` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rohansx-reflect/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt