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Agent skill

Latency Critical Systems

by affaan-m in affaan-m/ECC

Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and…

MITAuto-check passedBusiness, Finance & HR

Install Latency Critical Systems

skills CLI
$ npx skills add affaan-m/ECC --skill latency-critical-systems -a claude-code

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

GitHub CLI
$ gh skill install affaan-m/ECC latency-critical-systems --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/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/latency-critical-systems .claude/skills/latency-critical-systems && 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
latency-critical-systems
GitHub stars
277k
Used in
1 other repo
Token cost
~624 tokens
SKILL.md length
268 words
Files
1
Skills in repo
683
Repo updated
First seen
Licence
MIT

At a glance

Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and…

  • Works in 8 steps: Remove unnecessary round trips. → Cache stable reads with freshness… → Batch small calls and writes. → …
  • Data freshness matters
  • SKILL.md covers Split The Metrics, Map The Hot Path, Optimization Order and Verification, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Latency Critical Systems is an agent skill from affaan-m/ECC. Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and queue depth, mapping hot paths, and running live readbacks. Use when p95 latency, throughput, or data freshness matters.

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Stock and market analysis. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.

When your agent uses it

  • Data freshness matters
  • Tasks that involve Stock and market analysis

Example prompts

  • “/latency-critical-systems”

Workflow steps

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

  1. Remove unnecessary round trips.
  2. Cache stable reads with freshness metadata.
  3. Batch small calls and writes.
  4. Move compute closer to the data or the user.
  5. Split hot and cold paths.
  6. Apply backpressure before queues grow unbounded.
  7. Use streaming only when it improves freshness or user experience.
  8. Add canaries for stale data, degraded providers, and bad cache state.

What it can do on your machine

Read from SKILL.md and the folder at commit 2d515e4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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.

Context cost

Latency Critical Systems loads about 624 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 268 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~624

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 268 words, ~624 tokens.

Download SKILL.mdSave it as .claude/skills/latency-critical-systems/SKILL.md (or your agent's skills folder).
name
latency-critical-systems
description
Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and queue depth, mapping hot paths, and running live readbacks. Use when p95 latency, throughput, or data freshness matters.
license
MIT
metadata.origin
ECC
tools
Read, Write, Edit, Bash, Grep, Glob

Latency Critical Systems

Use this skill when the user cares about realtime behavior, hot paths, streaming freshness, or execution speed. This includes HFT-like infrastructure, but the skill is engineering-focused. It does not authorize live trading or financial advice.

Split The Metrics

Do not collapse everything into "fast." Track:

  • p50, p95, and p99 latency;
  • throughput;
  • freshness age;
  • queue depth;
  • cache hit rate;
  • provider/API response time;
  • browser render time;
  • correctness under load;
  • failure and retry behavior.

Map The Hot Path

Write the path from user/event to final visible state:

text
source event -> provider API -> ingest worker -> queue -> cache -> edge route
-> client stream -> browser render -> user-visible state

Then measure each segment separately.

Optimization Order

  1. Remove unnecessary round trips.
  2. Cache stable reads with freshness metadata.
  3. Batch small calls and writes.
  4. Move compute closer to the data or the user.
  5. Split hot and cold paths.
  6. Apply backpressure before queues grow unbounded.
  7. Use streaming only when it improves freshness or user experience.
  8. Add canaries for stale data, degraded providers, and bad cache state.

Verification

Use live readbacks when a deployed surface exists:

  • HTTP timing and response headers;
  • provider freshness timestamp;
  • queue or job state;
  • edge/cache state;
  • browser verification for actual UI freshness;
  • logs around retries and degraded mode.

For market-data or execution-adjacent paths, also verify orderbook age, VWAP assumptions, provider status, and kill-switch behavior before calling the path ready.

Guardrails

  • Do not optimize latency by dropping required validation.
  • Do not hide stale data behind fast cache hits.
  • Do not claim millisecond behavior from client labels without measurement.
  • Do not run live orders, destructive migrations, or customer-impacting deploys without an explicit approval gate.
  • Keep secrets and private payloads out of logs and benchmark artifacts.

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

Files

Just SKILL.md in skills/latency-critical-systems of affaan-m/ECC.

Open the folder on GitHubat commit 2d515e4

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Latency Critical Systems 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.

Latency Critical Systems compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Latency Critical Systems this skillaffaan-m/ECC277k1 repos~624Automated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Tushare Datazillionare/zillionare3222 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle878—~5.9kAutomated safety check: PassMIT
Longbridge Researchhelsome/folio2713 repos~2.1kAutomated safety check: PassMIT

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Categories

Questions about Latency Critical Systems

What does Latency Critical Systems do?

Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and…. Latency Critical Systems is an agent skill from affaan-m/ECC. Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and queue depth, mapping hot paths, and running live readbacks.

When should I use Latency Critical Systems?

Latency Critical Systems fits situations like: data freshness matters; tasks that involve Stock and market analysis.

How do I install Latency Critical Systems in Claude Code?

Run `npx skills add affaan-m/ECC --skill latency-critical-systems -a claude-code`. Or copy the skill folder (skills/latency-critical-systems in affaan-m/ECC) into .claude/skills/latency-critical-systems in your project. Claude Code loads it when a task matches its description.

How do I install Latency Critical Systems in Codex?

Run `npx skills add affaan-m/ECC --skill latency-critical-systems -a codex`. Or copy the skill folder (skills/latency-critical-systems in affaan-m/ECC) into .agents/skills/latency-critical-systems in your project. Codex loads it when a task matches its description.

Can I use Latency Critical Systems 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 affaan-m/ECC --skill latency-critical-systems -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/latency-critical-systems, .gemini/skills/latency-critical-systems, .github/skills/latency-critical-systems and .opencode/skills/latency-critical-systems in your project.

What does Latency Critical Systems need to run?

SKILL.md names no scripts, command-line tools or credentials: Latency Critical Systems is instructions for the agent only.

Does Latency Critical Systems 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 Latency Critical Systems 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. Review the folder before installing.

What licence does Latency Critical Systems use?

Latency Critical Systems 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 Latency Critical Systems use?

About 624 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Latency Critical Systems?

Skills that share tags, products or a category with Latency Critical Systems: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Latency Critical Systems?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,673 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 11, 2026.

Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.