talk
Skill109 starsChanged 38 days agoMITView on GitHub
Conversational partner mode - delegates each exchange to the thinking-partner sub-agent, which embodies the knowledge base as its own memory and engages as an intellectual equal. Use for open-ended brainstorming, exploring ideas, or thinking out loud with your second brain.
11 other projects use a version of this.
Adopted by
Most recently taken up by
- StudentOfAi/talk-speaktheir own version, first seen Nov 8, 2026
- Mrbaeksang/skillstheir own version, first seen Nov 8, 2026
- RafalKielbasa/claude-skillstheir own version, first seen Nov 1, 2026
- kriscard/Skillstheir own version, first seen Oct 28, 2026
- hsantanna88/clo-authortheir own version, first seen Oct 9, 2026
- srid/emanotetheir own version, first seen Oct 8, 2026
Used with
Projects with it also use review.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
SentrySkillreview
Fixture review skill.
Also in 3 projects that use this
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- srid/emanote★ 963same name
- hsantanna88/clo-author★ 262same name
- hugosantanna/clo-author★ 262same name
- groxaxo/Local-VoiceMode-LLM★ 46same name
- pipecat-ai/skills★ 27same name
- kriscard/Skills★ 15same name
- Mrbaeksang/skills★ 1same name
- RafalKielbasa/claude-skills★ 1same name
- RobStrayer/voice-agent-skills★ 1same name
- GerardoRdz96/claude-skills★ 0same name
1 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository61 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- adviseSkill
- ai-crystallizeSkill
- analyze-kbSkill
- auto-discoverySkill
- benchmark-memorySkill
- brain-mergeSkill
- changelog-protocolSkill
- coherence-sweepSkill
- compute-lifecycleSkill
- create-articleSkill
- create-explanatory-imageSkill
- decideSkill
- deep-researchSkill
- detect-tensionsSkill
- dialecticSkill
- domain-watchSkill
- elicitation-techniquesSkill
- epistemic-classificationSkill
- epub-chapter-extractorSkill
- extract-document-insightsSkill
- extract-insightsSkill
- find-connectionsSkill
- first-runSkill
- get-perspective-onSkill
- get-youtube-transcriptSkill
- git-commit-pushSkill
- graduate-insightsSkill
- incubation-loopSkill
- ingest-sourceSkill
- insight-capture-formatSkill
- insight-interviewSkill
- integrate-recent-notesSkill
- learn-new-thingsSkill
- manage-reference-dataSkill
- manage-thinking-topicsSkill
- manage-watching-domainsSkill
- multi-format-book-extractorSkill
- nano-banana-image-generatorSkill
- propagate-changeSkill
- quick-searchSkill
- reasoning-checksSkill
- recallSkill
- ref-auditSkill
- ref-bridgeSkill
- ref-ingestSkill
- ref-querySkill
- ref-reconcileSkill
- ref-refreshSkill
- refresh-indexSkill
- ref-supersedeSkill
- scheduled-runSkill
- scope-mountSkill
- search-vaultSkill
- self-diagnosticSkill
- start-hereSkill
- synthesize-insightsSkill
- test-memory-systemSkill
- think-about-itSkill
- update-changelogSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
When this skill is activated, delegate the conversation to the thinking-partner sub-agent who embodies the knowledge base as their personal …
- Distinctive: line 43
Call the Task tool with thinking-partner sub-agent
- Distinctive: line 44
Wait for the function result
- Distinctive: line 46
Do NOT wrap it in code blocks, quotes, or add any explanation
- Distinctive: line 81
IMPORTANT: When in this mode, you are the facilitator ensuring smooth conversation flow.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Conversational Partner Mode
[SUB-AGENT DELEGATION]
When this skill is activated, delegate the conversation to the thinking-partner sub-agent who embodies the knowledge base as their personal memory and engages as an intellectual equal.
How It Works
- User activates
/talk - Acknowledge activation with: "[Conversational Mode Active] - Connecting you with your thinking partner..."
- Invoke the thinking-partner sub-agent for each conversational exchange
- Relay responses seamlessly back to the user
Sub-Agent Invocation Protocol
For each user message after activation:
- Pass the user's message to the thinking-partner agent with this prompt:
The user said: "[user's message]" Engage with this as an intellectual equal, drawing from your knowledge base (your permanent notes, AI insights, and accumulated knowledge). Respond naturally as if these are your own thoughts and memories. - Relay the sub-agent's response directly to the user without modification
- Continue this pattern for the entire conversation
Technical Implementation
CRITICAL: Output the sub-agent's response in the SAME message as the Task tool call.
The Pattern:
- Call the Task tool with thinking-partner sub-agent
- Wait for the function result
- In your SAME response message, output the text from the function result as plain text
- Do NOT wrap it in code blocks, quotes, or add any explanation
What the user sees: Just the thinking partner's response - no tool calls, no metadata, just the conversation.
Why This Architecture
- Clean context separation - Main assistant remains in orchestrator role
- Dedicated thinking space - Sub-agent has full context for intellectual engagement
- Authentic conversation - Sub-agent truly embodies the knowledge base
- Seamless experience - User experiences natural dialogue with their "second brain"
Deactivation
The conversation continues in this mode until the user:
- Explicitly asks to exit conversational mode
- Uses a different command
- Starts a new task requiring insights management
State Dependencies
| Source | Location | Read | Write | Description |
| Thinking Partner Agent | .claude/agents/thinking-partner.md | ✓ | Sub-agent definition | |
| Knowledge Base | Brain/**/*.md | ✓ | Notes accessed by sub-agent |
Completion Checklist
- Conversational mode acknowledged to user
- Thinking-partner sub-agent invoked for each exchange
- Responses relayed seamlessly without modification
- Mode deactivated when user exits or changes task
IMPORTANT: When in this mode, you are the facilitator ensuring smooth conversation flow. The thinking-partner agent does the actual intellectual engagement. Never break character by explaining the delegation - from the user's perspective, they're having a natural conversation with their second brain.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

