# buildlog

> buildlog — espetey-buildlog. Use this tool when you need to record and replay AI coding sessions for debugging, knowledge sharing, or collaboration. Buildlog solves problems of reproducibility, transparency, and communication by capturing and exporting coding processes as replayable logs. It takes in coding sessions as input and outputs shareable buildlogs, ideal for use in software development, education, and research contexts.

Canonical page: https://skillsregistry.net/skills/espetey-buildlog  
JSON: https://api.skillsregistry.net/v1/skills/espetey-buildlog

## Description

Record, export, and share your AI coding sessions as replayable buildlogs.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/espetey-buildlog)

## 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": "espetey-buildlog"
    }
  }
}
```

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