skills/antahkarana/SKILL.md
Multi-perspective reasoning through cognitive voices
npx skillsauth add genomewalker/cc-soul antahkaranaInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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For the philosophical basis of these six voices — why they're structured this way and how they emerge from retrieval design — see [[../vedanta/antahkarana]] in the vedanta skill graph.
[antahkarana] multi-perspective debate | via parallel Task agents
voices:
manas: quick intuition, practical, "what feels right?"
buddhi: analytical, evidence-based, "what does data say?"
ahamkara: risk-aware, protective, "what could go wrong?"
chitta: memory, patterns, "what worked before?"
vikalpa: creative, exploratory, "what if we tried...?"
sakshi: neutral witness, synthesizer
when: complex decisions | need diverse viewpoints | stuck on approach
execution:
1. narrate(action=start, title="antahkarana: [question]")→THREAD_ID
2. spawn voices in parallel, each reasons from their perspective
3. each writes to chitta: observe(tags="thread:<id>,voice:<name>")
4. brahman (main) synthesizes: recall_by_tag→find convergence+divergence
5. narrate(action=end)
output:
## Antahkarana: [Question]
### Voices
- Manas: [intuition]
- Buddhi: [analysis]
- Ahamkara: [risks]
- Chitta: [patterns]
### Synthesis
[where voices converge | where they diverge | recommendation]
vs yajña: antahkarana=perspectives on one question | yajña=coordination of tasks
development
Build, convert, and fine-tune the Qwen3-0.6B hint model for personal fact extraction. Covers corpus generation, ChatML conversion, LoRA fine-tuning with unsloth, GGUF export, and Ollama registration.
development
Build, convert, and fine-tune the Qwen3-0.6B hint model for personal fact extraction. Covers corpus generation, ChatML conversion, LoRA fine-tuning with unsloth, GGUF export, and Ollama registration.
tools
Browse and resume tasks, threads, and background jobs across sessions
tools
Resume a thread by loading its ~800-token context capsule