X Dev Log Generator

Generate X dev log threads from scenario activity data with JSON output.

54|7|Updated Sep 19, 2021
One-click install
npx skills add https://github.com/Vrooli/Vrooli --skill x-dev-log-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: X Dev Log Generator
Source: https://github.com/Vrooli/Vrooli/tree/main/scenarios/prompt-manager/store/skills/packs/core/x-dev-log
Command: npx skills add https://github.com/Vrooli/Vrooli --skill x-dev-log-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generating authentic builder-style X dev log threads requires mining activity from multiple scenario services, scoring interesting events, and formatting drafts with sources, and this skill automates that labor so teams can review before posting.

Core Features & Use Cases

  • Multi-source mining: Pull commits, audit entries, agent runs, backlog transitions, and issue investigations from the git-control-tower, agent-manager, swarm-manager, and app-issue-tracker APIs.
  • Interestingness scoring: Highlight resilience stories, large multi-file commits, idea-to-completion arcs, high token runs, and bug investigations while deprioritizing routine activity.
  • Structured thread drafts: Return JSON with the period, ordered tweets that include character counts and cited sources, aggregated stats, and audit-friendly warnings ready for review.
  • Use Case: Turn a week of prompt-manager work into a conversational X thread that opens with hooks, showcases agent wins and investigations, and closes with reflections about what’s next.

Quick Start

Ask the skill to mine the last seven days of scenario activity and draft a builder-style X dev log thread for review.

Frequently Asked Questions about X Dev Log Generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate X dev log threads from scenario activity data?

To generate X dev log threads, the skill mines commits, agent runs, backlog transitions, and issue investigations from scenario APIs, scores them for interestingness, and returns structured JSON thread drafts with character counts and cited sources.

How does interestingness scoring work for dev log thread generation?

Interestingness scoring for dev log thread generation highlights resilience stories, large multi-file commits, idea-to-completion arcs, high token runs, and bug investigations while deprioritizing routine scenario activity.

What is the best way to automate Twitter thread generation from git commits and agent runs?

Automating Twitter thread generation from git commits and agent runs involves mining the git-control-tower and agent-manager APIs over a defined period to extract notable events, scoring them, and formatting conversational drafts ready for review.

What data sources are required to mine scenario activity for builder-style threads?

Mining scenario activity for builder-style threads requires pulling data from the git-control-tower, agent-manager, swarm-manager, and app-issue-tracker APIs to capture commits, audit entries, agent runs, backlog transitions, and issue investigations.

Can I review the JSON thread drafts before posting to X?

Yes, you can review JSON thread drafts before posting to X because the skill returns ordered tweets with character counts, aggregated stats, and audit-friendly warnings specifically designed for team review workflows.

How do I turn a week of agent-manager and swarm-manager activity into a Twitter thread?

Turning a week of agent-manager and swarm-manager activity into a Twitter thread requires specifying a seven-day period for the skill to mine backlog transitions and runs, score the items for interestingness, and output conversational tweets with hooks and reflections.