Agent skill

Tracking Application Response Times

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Track and optimize application response times across API endpoints, database queries, and service calls.

MITAuto-check passedBackend & APIs

Install Tracking Application Response Times

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill tracking-application-response-times -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace tracking-application-response-times --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/tracking-application-response-times .claude/skills/tracking-application-response-times && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tracking-application-response-times
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
427 words
Files
5 (incl. scripts, references, assets)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Track and optimize application response times across API endpoints, database queries, and service calls.

  • Works in 3 steps: Initiate Tracking: The user requests… → Configure Monitoring: The plugin… → Report Metrics: The plugin generates…
  • Monitoring performance
  • SKILL.md covers Overview, How It Works, When to Use This Skill and Examples, plus 7 more sections
  • Runs Python scripts from its folder

What it does

Tracking Application Response Times is an agent skill from jeremylongshore/tons-of-skills-marketplace. Track and optimize application response times across API endpoints, database queries, and service calls. Use when monitoring performance or identifying bottlenecks. Trigger with phrases like "track response times", "monitor API performance", or "analyze latency".

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/README.md`, `references/README.md` and `scripts/README.md`). Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering REST APIs. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Monitoring performance
  • Identifying bottlenecks
  • With phrases like track response times
  • Monitor API performance

Example prompts

  • “track response times”
  • “monitor API performance”
  • “analyze latency”
  • “/tracking-application-response-times”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(monitoring:*), Bash(metrics:*)

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Initiate Tracking: The user requests response time tracking.
  2. Configure Monitoring: The plugin automatically begins monitoring API endpoints, database queries, external service calls, frontend…
  3. Report Metrics: The plugin generates reports including P50, P95, P99 percentiles, average, and maximum response times.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(monitoring:*)
    • Bash(metrics:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Tracking Application Response Times loads about 1k tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 427 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 427 words, ~1,018 tokens.

Download SKILL.mdSave it as .claude/skills/tracking-application-response-times/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
tracking-application-response-times
description
Track and optimize application response times across API endpoints, database queries, and service calls. Use when monitoring performance or identifying bottlenecks. Trigger with phrases like "track response times", "monitor API performance", or "analyze latency".
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(monitoring:*), Bash(metrics:*)
compatibility
Designed for Claude Code
version
1.22.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
performance, api, database, monitoring

Response Time Tracker

Track and analyze response times across API endpoints, database queries, and service calls with P50/P95/P99 percentile reporting and SLO compliance monitoring.

Overview

This skill empowers Claude to proactively monitor and improve application performance by tracking response times across various layers. It provides detailed metrics and insights to identify and resolve performance bottlenecks.

How It Works

  1. Initiate Tracking: The user requests response time tracking.
  2. Configure Monitoring: The plugin automatically begins monitoring API endpoints, database queries, external service calls, frontend rendering, and background jobs.
  3. Report Metrics: The plugin generates reports including P50, P95, P99 percentiles, average, and maximum response times.

When to Use This Skill

This skill activates when you need to:

  • Identify performance bottlenecks in your application.
  • Monitor service level objectives (SLOs) related to response times.
  • Receive alerts about performance degradation.

Examples

Example 1: Diagnosing Slow API Endpoint

User request: "Track response times for the user authentication API endpoint."

The skill will:

  1. Activate the response-time-tracker plugin.
  2. Monitor the specified API endpoint and report response time metrics, highlighting potential bottlenecks.
Example 2: Monitoring Database Query Performance

User request: "Monitor database query performance for the product catalog."

The skill will:

  1. Activate the response-time-tracker plugin.
  2. Track the execution time of database queries related to the product catalog and provide performance insights.

Best Practices

  • Granularity: Track response times at a granular level (e.g., individual API endpoints, specific database queries) for more precise insights.
  • Alerting: Configure alerts for significant deviations from baseline performance to proactively address potential issues.
  • Contextualization: Correlate response time data with other metrics (e.g., CPU usage, memory consumption) to identify root causes.
Show full SKILL.md (158 more words)Show less

Integration

This skill can be integrated with other monitoring and alerting tools to provide a comprehensive view of application performance. It can also be used in conjunction with optimization tools to automatically address identified bottlenecks.

Prerequisites

  • Access to application monitoring infrastructure
  • Response time data collection in ${CLAUDE_SKILL_DIR}/metrics/response-times/
  • APM tools or custom instrumentation
  • Performance SLO definitions

Instructions

  1. Configure monitoring for API endpoints and database queries
  2. Collect response time metrics (P50, P95, P99 percentiles)
  3. Analyze trends and identify performance degradation
  4. Compare against performance baselines and SLOs
  5. Identify bottlenecks and root causes
  6. Generate optimization recommendations

Output

  • Response time reports with percentile metrics
  • Performance trend visualizations
  • Bottleneck identification analysis
  • SLO compliance status
  • Optimization recommendations with priorities

Error Handling

If response time tracking fails:

  • Verify monitoring agent installation
  • Check instrumentation configuration
  • Validate metric export endpoints
  • Ensure data storage availability
  • Review sampling configuration

Resources

  • APM tool documentation
  • Response time monitoring best practices
  • Percentile-based SLO definitions
  • Performance optimization guides

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references, assets) in skills/.curated/tracking-application-response-times of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • assets/README.md
  • references/README.md
  • scripts/README.md
  • scripts/analyze_response_times.py

Open the folder on GitHubat commit cfae287

Compare with similar skills

Tracking Application Response Times next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tracking Application Response Times compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tracking Application Response Times this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT
Mintlify APImacro-inc/macro4.6k2 repos~333Automated safety check: PassMIT
Frappe Ops Website DeployImpertio-Studio/Frappe_Claude_Skill_Package189—~2.5kAutomated safety check: PassMIT
Vss Manage Video Io StorageNVIDIA-AI-Blueprints/video-search-and-summarization1.9k—~6.8kAutomated safety check: PassApache-2.0
Golem Add HTTP Endpoint Effectgolemcloud/golem1.5k—~3.3kAutomated safety check: PassCustom licence
Backend Dev Guidelineslangfuse/langfuse36k—~1.9kAutomated safety check: PassCustom licence

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Questions about Tracking Application Response Times

What does Tracking Application Response Times do?

Track and optimize application response times across API endpoints, database queries, and service calls. Tracking Application Response Times is an agent skill from jeremylongshore/tons-of-skills-marketplace. Track and optimize application response times across API endpoints, database queries, and service calls.

When should I use Tracking Application Response Times?

Tracking Application Response Times fits situations like: monitoring performance; identifying bottlenecks; with phrases like track response times; monitor API performance.

How do I install Tracking Application Response Times in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill tracking-application-response-times -a claude-code`. Or copy the skill folder (skills/.curated/tracking-application-response-times in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/tracking-application-response-times in your project. Claude Code loads it when a task matches its description.

How do I install Tracking Application Response Times in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill tracking-application-response-times -a codex`. Or copy the skill folder (skills/.curated/tracking-application-response-times in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/tracking-application-response-times in your project. Codex loads it when a task matches its description.

Can I use Tracking Application Response Times in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill tracking-application-response-times -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tracking-application-response-times, .gemini/skills/tracking-application-response-times, .github/skills/tracking-application-response-times and .opencode/skills/tracking-application-response-times in your project.

What does Tracking Application Response Times need to run?

Going by SKILL.md and its folder, Tracking Application Response Times needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(monitoring:*), Bash(metrics:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Tracking Application Response Times access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tracking Application Response Times safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Tracking Application Response Times use?

Tracking Application Response Times is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tracking Application Response Times use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 16 tokens, read only when the agent opens those files.

What are the alternatives to Tracking Application Response Times?

Skills that share tags, products or a category with Tracking Application Response Times: Mintlify API (macro-inc/macro, 4.6k stars), Frappe Ops Website Deploy (Impertio-Studio/Frappe_Claude_Skill_Package, 189 stars), Vss Manage Video Io Storage (NVIDIA-AI-Blueprints/video-search-and-summarization, 1.9k stars) and Golem Add HTTP Endpoint Effect (golemcloud/golem, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tracking Application Response Times?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.