Agent skill

Streaming LLM Responses

by aiskillstore in aiskillstore/marketplace

Implement real-time streaming UI patterns for AI chat applications.

No licenceAuto-check passed

Install Streaming LLM Responses

skills CLI
$ npx skills add aiskillstore/marketplace --skill streaming-llm-responses -a claude-code

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

GitHub CLI
$ gh skill install aiskillstore/marketplace streaming-llm-responses --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/asmayaseen/streaming-llm-responses .claude/skills/streaming-llm-responses && 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
streaming-llm-responses
GitHub stars
433
Token cost
~2k tokens
SKILL.md length
228 words
Files
4 (incl. scripts, references)
Skills in repo
1,044
Repo updated
First seen
Licence
None found

At a glance

Implement real-time streaming UI patterns for AI chat applications.

  • Works in 5 steps: Response Lifecycle Handlers → Client Effects (Fire-and-Forget) → Progress Updates → …
  • Adding response lifecycle handlers
  • SKILL.md covers Quick Start, Response Lifecycle, Core Patterns and Client Effects vs Client Tools, plus 6 more sections
  • Runs Python scripts from its folder; calls python3; needs DOMAIN_KEY

What it does

Streaming LLM Responses is an agent skill from aiskillstore/marketplace. Implement real-time streaming UI patterns for AI chat applications. Use when adding response lifecycle handlers, progress indicators, client effects, or thread state synchronization. Covers onResponseStart/End, onEffect, ProgressUpdateEvent, and client tools. NOT when building basic chat without real-time feedback.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/streaming-patterns.md`, `scripts/verify.py` and `skill-report.json`).

The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

When your agent uses it

  • Adding response lifecycle handlers
  • Progress indicators
  • Thread state synchronization

Example prompts

  • “/streaming-llm-responses”

Requirements

  • Python 3
  • A credential in DOMAIN_KEY

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Response Lifecycle Handlers
  2. Client Effects (Fire-and-Forget)
  3. Progress Updates
  4. Thread Lifecycle Events
  5. Client Tools (State Query)

What it can do on your machine

Read from SKILL.md and the folder at commit 44923f3. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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 these keys or tokens, usually read from environment variables:

    • DOMAIN_KEY

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

Context cost

Streaming LLM Responses loads about 2k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 228 words (~2,025 tokens).

“Build responsive, real-time chat interfaces with streaming feedback.”

— opening of SKILL.md by aiskillstore
name
streaming-llm-responses

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in skills/asmayaseen/streaming-llm-responses of aiskillstore/marketplace.

  • SKILL.md
  • references/streaming-patterns.md
  • scripts/verify.py
  • skill-report.json

Open the folder on GitHubat commit 44923f3

Compare with similar skills

Streaming LLM Responses 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.

Streaming LLM Responses compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Streaming LLM Responses this skillaiskillstore/marketplace433—~2kAutomated safety check: PassNone
Implementing Ot Incident Response Playbookmukul975/Anthropic-Cybersecurity-Skills34k—~4.2kAutomated safety check: PassApache-2.0
Implementsickn33/agentic-awesome-skills47k5 repos~306Automated safety check: PassMIT
Responsive Unitsthedaviddias/Front-End-Checklist74k—~472Automated safety check: PassMIT
Responsive Designwshobson/agents40k2 repos~498Automated safety check: PassMIT
Implementcodewhale-hq/Codewhale41k—~190Automated safety check: PassMIT

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Questions about Streaming LLM Responses

What does Streaming LLM Responses do?

Implement real-time streaming UI patterns for AI chat applications. Streaming LLM Responses is an agent skill from aiskillstore/marketplace. Implement real-time streaming UI patterns for AI chat applications.

When should I use Streaming LLM Responses?

Streaming LLM Responses fits situations like: adding response lifecycle handlers; progress indicators; thread state synchronization.

How do I install Streaming LLM Responses in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill streaming-llm-responses -a claude-code`. Or copy the skill folder (skills/asmayaseen/streaming-llm-responses in aiskillstore/marketplace) into .claude/skills/streaming-llm-responses in your project. Claude Code loads it when a task matches its description.

How do I install Streaming LLM Responses in Codex?

Run `npx skills add aiskillstore/marketplace --skill streaming-llm-responses -a codex`. Or copy the skill folder (skills/asmayaseen/streaming-llm-responses in aiskillstore/marketplace) into .agents/skills/streaming-llm-responses in your project. Codex loads it when a task matches its description.

Can I use Streaming LLM Responses 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 aiskillstore/marketplace --skill streaming-llm-responses -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/streaming-llm-responses, .gemini/skills/streaming-llm-responses, .github/skills/streaming-llm-responses and .opencode/skills/streaming-llm-responses in your project.

What does Streaming LLM Responses need to run?

Going by SKILL.md and its folder, Streaming LLM Responses needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named DOMAIN_KEY. Our summary lists: Python 3; A credential in DOMAIN_KEY.

Does Streaming LLM Responses 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 Streaming LLM Responses 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 Streaming LLM Responses use?

No licence was found for Streaming LLM Responses or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Streaming LLM Responses use?

About 2k tokens (SKILL.md is roughly 8.1k 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 1.4k tokens, read only when the agent opens those files.

What are the alternatives to Streaming LLM Responses?

Skills that share tags, products or a category with Streaming LLM Responses: Implementing Ot Incident Response Playbook (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Implement (sickn33/agentic-awesome-skills, 47k stars), Responsive Units (thedaviddias/Front-End-Checklist, 74k stars) and Responsive Design (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Streaming LLM Responses?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 433 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 10, 2026.

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