Install
$ agentstack add skill-cblanquera-chrisai-chrisai-chatting ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
ChrisAI Chatting
Use this skill for experimental workflows that improve the shape, continuity, or artifact interface of chat sessions.
Do not use this skill for general conversation quality, prompt editing, broad assistant behavior design, or production application implementation unless the request is specifically about chat-session experience patterns.
Internal Workflows
Use the narrowest workflow that owns the user's requested chat-session experience artifact.
workflows/chat-session-caching-and-recall.md: For preserving useful chat
context, producing compact recall artifacts, deciding what should be cached, and rehydrating prior session state without overloading a new conversation.
workflows/html-form-intake.md: For turning agent intake prompts into local
HTML form artifacts that produce raw-text responses for the user to paste back into chat.
workflows/agent-response-to-html.md: For mirroring agent responses into a
readable HTML preview link while preserving the chat response as the canonical answer, or for saving/opening HTML when the user explicitly asks.
General Rules
- Prefer artifact-oriented outputs when the user provides or asks for HTML.
- Preserve source meaning when transforming chat content into cache summaries,
intake briefs, or HTML artifacts.
- Separate session-memory guidance from repository memory, application state,
or long-term user profile storage unless the user explicitly asks to connect those systems.
- Do not invent persistence, storage, browser automation, or deployment
behavior. Describe assumptions and ask for the missing target environment when those choices matter.
Decision Rules
- If the task is about compacting, saving, recalling, or transferring useful
chat-session context, use the chat-session caching and recall workflow.
- If the task starts from an agent intake prompt that should be answered as a
form, an HTML form submission, exported form artifact, or submitted HTML payload, use the HTML form intake workflow.
- If the task asks for a response, summary, report, or handoff to become
pretty, readable, previewed, or HTML-formatted, use the agent response to HTML workflow.
- If the request spans multiple workflows, choose the workflow that owns the
first concrete artifact and keep any follow-up workflow explicit.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: cblanquera
- Source: cblanquera/chrisai
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.