Developer Growth Analysis
CheckedAnalyzes developer community growth metrics to identify trends & opportunities for targeted marketing campaigns.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add davila7/claude-code-templates --skill developer-growth-analysis -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
davila7
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned davila7/claude-code-templates at 79182c51fb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79182c51fb
- Scanned
- 1 file, 311 lines
About this skill
What it does
This skill enables AI agents to analyze developer growth trajectories by processing code repositories, commit histories, and contribution patterns. It identifies skill acquisition rates, complexity progression, and team collaboration dynamics within engineering environments.
When to use it
- Evaluate onboarding success for new hires by comparing their initial code quality against established benchmarks over time.
- Identify high-potential engineers ready for senior roles based on consistent increases in code complexity and architectural decision-making.
- Optimize team composition by analyzing individual specialization trends to balance frontend, backend, and DevOps capabilities.
Key capabilities
- Parses git repositories to extract commit frequency, message clarity, and code change volume.
- Calculates growth velocity metrics including lines of code added versus refactored over specific timeframes.
- Detects knowledge expansion by correlating new technology stack usage with historical project requirements.
- Generates visual reports highlighting skill gaps and emerging expertise areas within a development team.
Example prompts
- "Analyze the last 6 months of commits for developer X and summarize their primary technical growth areas."
- "Compare the code complexity progression between our two newest junior developers to predict who is ready for mentorship responsibilities."
- "Identify which team members have successfully expanded into cloud infrastructure skills based on recent repository changes."
Tips & gotchas
Ensure access read permissions are configured for all target repositories before initiating analysis, as private commit data is required for accurate growth modeling. This tool focuses on quantitative metrics; qualitative code review insights should be supplemented by human feedback to avoid bias toward volume over quality.