Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
ai-github-radar
Tracks and analyzes AI-native tools and GitHub repos with fast growth or major updates to reveal emerging trends in AI workflows and ecosystems.
skill openclawclawhub Free
Tracks and analyzes AI-native tools and GitHub repos with fast growth or major updates to reveal emerging trends in AI workflows and ecosystems.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- lopushok9
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Thesis
Treat today’s AI tooling and GitHub traction as complementary data streams for technological momentum: the stories, raises, and features that command attention and the repos whose star graphs are climbing fastest together reveal where value, community trust, and experimentation are accelerating. The purpose of this skill is to keep that thesis front and center—every summary should answer “why does this tool/repo matter now?” and “what does its trajectory say about the broader AI ecosystem?”
Workflow
Collect the canonical signals: prioritize AI-only tools or apps with news hooks (big raises, novel features, product launches, or widespread hype). For GitHub, retrieve trending lists or star history (GitHub Explore, octoverse, etc.) to identify repos showing rapid-star growth or new surges in contributions. Evaluate momentum vs. noise: for each item, note the concrete trigger (e.g., funding round, major feature, notable integration, release notes) and pair it with a metric (funding amount, feature scope, star velocity, ecosystem mentions). Highlight why the story feels like a game changer or an inflection point. Frame the insight: weave a short thesis paragraph (~1-2 sentences) that links the tool/app news to the repo signal—e.g., “As project X receives €XXM, its GitHub repo moved into the top trending slot, suggesting the community is rallying behind that capability.” Structure the output: separate sections for “Tools & Apps” and “GitHub Radar,” each listing 3–5 items with bullets for the what/why/metric. End with a “What to Watch” note that flags one emerging pattern or repo to revisit soon. Source transparently: cite URLs or data (news links, GitHub URLs, star counts) next to each bullet so follow-up research is straightforward.
Style and Tone
Be analytical, not just descriptive. Use verbs like “signals,” “reinforces,” “propels,” and “tests” to keep the prose active. Keep each entry concise (2–3 sentences) but layered: mention the news, what changed, and the broader implication. If a tool or repo contradicts the thesis (e.g., hype without traction), note that tension rather than ignoring it.
When to Trigger
Invoke this skill whenever a user wants an update on AI tools, apps, or GitHub movements, especially if they ask for “interesting” or “fast-growing” innovations, big raises, or “game changing” features. It also applies when they request analytical summaries that connect product moves with developer momentum.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md