streaming-llm-responses
Build Responsive Streaming AI Interfaces
Streaming AI interfaces can leave users uncertain and create conflicting interactions. This skill provides lifecycle, progress, effect, client-tool, and thread-state patterns.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "streaming-llm-responses" from https://skillstore.io/skills/asmayaseen-streaming-llm-responses.md and its manifest at https://skillstore.io/api/skills/asmayaseen-streaming-llm-responses/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "streaming-llm-responses". Add reliable streaming lifecycle behavior to a map-based chat interface.
Expected outcome:
The interface locks map interactions when a response starts, unlocks after completion, and also unlocks after errors.
Using "streaming-llm-responses". Show progress while an agent searches and processes articles.
Expected outcome:
- Searching articles...
- Found 20 articles...
- Processing article 5 of 20...
- Finalizing results...
Using "streaming-llm-responses". Let the assistant read the current map selection.
Expected outcome:
A named client tool returns selected item identifiers, while unknown tool names produce a controlled error.
Security Audit
SafeAll 30 static findings are false positives. External-command alerts match Markdown fences, TypeScript template literals, or a fixed local verification command. The network alert matches a generic asynchronous call without an HTTP client; no prompt injection, malicious intent, or exfiltration behavior was found.
Risk Factors
⚙️ External commands (29)
🌐 Network access (1)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
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https://skillstore.io/skills/asmayaseen-streaming-llm-responses/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/asmayaseen-streaming-llm-responses?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/asmayaseen-streaming-llm-responses/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/asmayaseen-streaming-llm-responses.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
Asmayaseen. (2026). streaming-llm-responses security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/asmayaseen-streaming-llm-responses/audits/9BibTeX citation
@techreport{asmayaseen-asmayaseen-streaming-llm-responses-2026,
author = {Asmayaseen},
title = {streaming-llm-responses security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/asmayaseen-streaming-llm-responses/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "streaming-llm-responses security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "Asmayaseen"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/asmayaseen-streaming-llm-responses/audits/9"
identifiers:
- type: other
value: "skillstore:asmayaseen-streaming-llm-responses:audit:9"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Add Streaming Feedback
Add loading states, progress messages, and reliable error recovery to an existing AI chat interface.
Connect Backend Events
Emit progress and client-effect events from long-running agent tools and response handlers.
Synchronize Interactive State
Coordinate AI responses with maps, forms, canvases, games, or simulation state.
Try These Prompts
Add response start, response end, and error handlers to my ChatKit component. Disable interactions while streaming and always restore them after errors.
Update this asynchronous agent tool to emit clear progress events before, during, and after its long-running work.
Design typed client-effect handlers for these event names: [EVENTS]. Validate each payload and keep expensive interface updates outside the callback.
Review my frontend and backend streaming flow. Add lifecycle locking, progress events, client tools, thread persistence, validation, and failure recovery.
Best Practices
- Restore interface state in completion and error handlers.
- Validate effect payloads and return only necessary client state.
- Keep client-effect handlers fast and move expensive work to scheduled updates.
Avoid
- Leaving interactions enabled while dependent streaming updates are in progress.
- Performing blocking or expensive computation inside client-effect callbacks.
- Returning complete client state when the model needs only selected fields.
Frequently Asked Questions
What applications benefit from this skill?
Does this skill create a complete chat application?
How should errors affect locked interface controls?
When should I use a client effect?
When should I use a client tool?
Does the skill include security controls?
Developer Details
Author
AsmayaseenLicense
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Repository
https://github.com/Asmayaseen/hackathon-2/tree/main/.claude/skills/streaming-llm-responsesRef
89edfdc710d0846129dcee6a929477b04f08052c
Maintenance freshness
7/24/2026
Usage
14 downloads · 190 views
File structure