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docs(context): skills track + next-session plan (harness grill-me, 3 research prompts)

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Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01X9iCzmxK2zbb8H1Ld3f8AN
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2026-09-08 22:38:01 -05:00
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# Claude & Claude Code — Research & Config Home — Context
> **NEXT SESSION PLAN — CURRENT VALUE (rewritten 2026-09-08 22:45, Fable 5.1, supersedes the 21:40/21:43 blocks below).** Still on FABLE, credits ~$12 used. Research + decisions + preflight ONLY, no build work.
> 1. **AI-harness grill-me FIRST** (personal_projects 221): "what do I want out of an AI harness" — one question at a time with recommendations. Inputs: `research/local-ai-coding-stack-research.md` §3–§6, `reference_open_source_ai_tools`, `project_voice_chat_claude_code`, synthesis Part 3. Known pain points to test every candidate against: (a) 200K context → end-of-session checklist at 80% (context-monitor.py), (b) MEMORY.md auto-memory injector cap ~24.4 KB (memory_tier_manager.py WARN 17 KB / ACT 22 KB; tiers are the workaround), (c) no API key / Pro OAuth only / $20 cap, (d) hooks + skills + memory stack must survive (session-start.sh, security-enforcement.py, automation-detector.py, 3 skills + 15 queued), (e) LMDE 7 / Debian 13 Linux support.
> 2. **Write THREE background-agent prompts** (use playbook_background_agent_prompts + mandatory wrap-up block; user wants them saved so Opus 4.8 can run them if credits run out): (A) AI-harness research — LifeOS (current) vs free/OSS harnesses, must do everything the grill-me says; (B) jcode vs Claude Code — is the "bigger context window" real, does it fix (a)+(b), canonical repo (`local-ai-coding-stack-research.md` §3 says repo/language unclear), and find any better alternative to BOTH; (C) HyperAgent — what it is, cost, no-API-key fit, use for API-business client acquisition + KDP/Etsy product marketing (business_projects 41; run it in the api-digital-business conversation). Save all three in Obsidian at `Resources/Prompts/` (NEW folder — no prompts folder existed as of 2026-09-08; agent prompts previously lived only in agent-builder/*.md) and in `claude-config/config/prompts/`.
> 3. Spawn the agents one at a time (≤5 background rule) → results into `research/` + INDEX rows → decisions into DECISIONS.md → preflight.
> 4. **Skills track exists** (2026-09-08 22:30): `skill` is an automation type; rule = `feedback_skill_vs_playbook.md` (Desktop store), injected in every dir via session-start.sh; build queue personal_projects 223–237 (first three: 223 scaffold, 224 end-session, 210 secret-pull, 225 pg-query). Stop hook `automation-detector.py` FIXED (INSERT column mismatch had silently killed every tag capture; now types + reports failures). Row 238 = security-enforcement.py crash on nested quoting.
## What this project does
The dedicated home for everything about **how we use Claude and Claude Code to do work** —
research on the current setup and where we want to take it, the decisions that come out of that