Correlation Tracing
CheckedCorrelation Tracing identifies relationships between data points to reveal hidden patterns and understand complex systems' behavior – valuable for debugging & insights.
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 aj-geddes/useful-ai-prompts --skill correlation-tracing -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
aj-geddes
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 7 files, 583 lines
About this skill
The correlation-tracing skill enables AI agents to identify and link related events, data points, or user actions across different systems or timeframes. It helps uncover hidden patterns by establishing causal or associative relationships between disparate pieces of information.
When to use it
- Investigating complex customer journeys where a single issue spans multiple touchpoints.
- Debugging distributed systems to connect logs from different microservices into a unified timeline.
- Analyzing market data to correlate external events (e.g., news) with internal sales fluctuations.
- Tracing the root cause of an error by linking initial user inputs to final system failures.
Key capabilities
- Identifies associations between unrelated data sources.
- Establishes causal links across temporal boundaries.
- Synthesizes fragmented information into coherent narratives.
- Highlights patterns that are not immediately obvious in raw data.
Example prompts
- "Trace the correlation between server latency spikes and user login failures over the last 24 hours."
- "Analyze how changes in marketing spend correlate with website conversion rates across different regions."
- "Identify correlations between specific code commits and subsequent production incidents in our deployment history."
Tips & gotchas
Ensure your data sources have consistent timestamps or unique identifiers to allow for accurate linking. This skill is most effective when the underlying relationship is logical rather than purely coincidental; avoid forcing connections on unrelated variables without context.