Post
1440
After the Feb/Mar '26 collapse of Claude Code I started building my own framework. The token crunch is still only mitigated, but the reasoning and quality are back โ better than before. For research and LLM
training recipes, though, diverse knowledge and a second point of view are crucial. Pairing my Claude Max sub with an Ollama Pro sub has already saved me from days of botched trainings โ multiple frontier
models helping Claude is next level. Acting as the middleman myself was interesting but inefficient, so I shipped skills that let Claude talk to Ollama models directly.
๐ claude-hooks v1.1.0 ships two LLM-to-LLM skills.
๐ฌ /get-advice โ single-shot second opinion. Claude runs a multi-turn conversation with a configured Ollama advisor; the advisor grounds in your project through read_file / grep / glob / list_files /
recall_memory tools. Effort tiers cap fresh-session retries.
๐ค /consultants โ multi-agent council for cross-cutting questions:
๐งฉ planner โ researcher โ critic โ synthesizer
Each role runs its own Ollama model. ๐พ Sessions persist to disk (summary.md + transcript.md + SQLite per-role message threads); closed sessions reopen and produce follow-ups ๐ indistinguishable from warm
ones.
๐ฏ x-tier effort multiplies diversity:
โข xmedium / xhigh โ researcher fans across N models in parallel
โข xmax โ + multi-critic + meta-critic combine; critics anonymized as "Critic 1/2/3" to avoid model-bias
๐ก๏ธ Cloud-flap recovery, three layers: 15-attempt / ~15min retry budget; synthesizer failure-fallback model chain; degraded-answer composer surfaces researcher + critic work even when synthesis fails.
๐ 7 cloud models benchmarked & Claude-graded on locked queries:
โข PROD-READY (P:A R:A C:A S:A): kimi-k2.6, gemma4:31b, glm-5.1
โข Role specialists: minimax-m2.7 (critic), qwen3.5 (planner)
๐ง Linux/macOS/Windows. No per-project setup.
๐ github.com/mann1x/claude-hooks
training recipes, though, diverse knowledge and a second point of view are crucial. Pairing my Claude Max sub with an Ollama Pro sub has already saved me from days of botched trainings โ multiple frontier
models helping Claude is next level. Acting as the middleman myself was interesting but inefficient, so I shipped skills that let Claude talk to Ollama models directly.
๐ claude-hooks v1.1.0 ships two LLM-to-LLM skills.
๐ฌ /get-advice โ single-shot second opinion. Claude runs a multi-turn conversation with a configured Ollama advisor; the advisor grounds in your project through read_file / grep / glob / list_files /
recall_memory tools. Effort tiers cap fresh-session retries.
๐ค /consultants โ multi-agent council for cross-cutting questions:
๐งฉ planner โ researcher โ critic โ synthesizer
Each role runs its own Ollama model. ๐พ Sessions persist to disk (summary.md + transcript.md + SQLite per-role message threads); closed sessions reopen and produce follow-ups ๐ indistinguishable from warm
ones.
๐ฏ x-tier effort multiplies diversity:
โข xmedium / xhigh โ researcher fans across N models in parallel
โข xmax โ + multi-critic + meta-critic combine; critics anonymized as "Critic 1/2/3" to avoid model-bias
๐ก๏ธ Cloud-flap recovery, three layers: 15-attempt / ~15min retry budget; synthesizer failure-fallback model chain; degraded-answer composer surfaces researcher + critic work even when synthesis fails.
๐ 7 cloud models benchmarked & Claude-graded on locked queries:
โข PROD-READY (P:A R:A C:A S:A): kimi-k2.6, gemma4:31b, glm-5.1
โข Role specialists: minimax-m2.7 (critic), qwen3.5 (planner)
๐ง Linux/macOS/Windows. No per-project setup.
๐ github.com/mann1x/claude-hooks