monitor-tweet
Executes an automated pipeline that turns social media requests into GitHub PRs.
Install
mkdir -p .claude/skills/monitor-tweet && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14576" && unzip -o skill.zip -d .claude/skills/monitor-tweet && rm skill.zipInstalls to .claude/skills/monitor-tweet
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Run the tweet-to-toolkit pipeline on a tweet. Flow: (1) triage+feasibility, (2) ALWAYS show findings and BOTH repo options to user, (3) user approves target + direction, (4) build auto-starts, (5) review auto-starts, (6) if APPROVED, gh pr create auto-runs. The ONLY human gate is step 2 — everything after approval is automatic. Usage: /monitor-tweet <tweet-text> [--dry-run]Key capabilities
- →Triage tweet requests for relevance and feasibility
- →Audit target repositories for existing overlap
- →Present feasibility findings and repository options to the user
- →Trigger builder agent for architecture analysis and implementation
- →Trigger reviewer agent for QA and regression checks
- →Create GitHub pull requests automatically
How it works
This skill processes a tweet by first triaging its relevance and feasibility, then presenting findings and repository options for human approval. Once approved, it automatically spawns builder and reviewer agents to implement and verify the feature, finally creating a GitHub pull request.
Inputs & outputs
When to use monitor-tweet
- →Turning feature-request tweets into code
- →Automating repo audits
- →Prototyping based on social feedback
About monitor-tweet
Triage tweet requests, audits relevant repositories for feasibility, and automatically triggers build and review agents once human approval is granted.
Run the tweet-to-toolkit pipeline on a tweet. Flow: (1) triage+feasibility, (2) ALWAYS show findings and BOTH repo options to user, (3) user approves target + direction, (4) build auto-starts, (5) review auto-starts, (6) if APPROVED, gh pr create auto-runs. The ONLY human gate is step 2 — everything
When not to use it
- →When the tweet is not relevant to the project
- →When the feature described in the tweet is infeasible
- →When the feature already exists in the codebase
Limitations
- →Requires explicit human approval before building
- →Relies on sub-agents for building and reviewing
- →Pipeline stops if triage finds the tweet irrelevant or infeasible
How it compares
This workflow automates the entire process from a tweet idea to a pull request, with a single human approval gate, significantly accelerating development compared to manual triage, implementation, and PR creation.
Compared to similar skills
monitor-tweet side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| monitor-tweet (this skill) | 0 | 4mo | Review | Advanced |
| skillshare | 1 | 2mo | Review | Intermediate |
| subtask | 3 | 6mo | Review | Advanced |
| agentic-jujutsu | 3 | 4mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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