…dance→optional) (NousResearch#11965)

Three tightly-scoped built-in skill consolidations to reduce redundancy in
the available_skills listing injected into every system prompt:

1. gguf-quantization → llama-cpp (merged)
   GGUF is llama.cpp's format; two skills covered the same toolchain. The
   merged llama-cpp skill keeps the full K-quant table + imatrix workflow
   from gguf and the ROCm/benchmarks/supported-models sections from the
   original llama-cpp. All 5 reference files preserved.

2. grpo-rl-training → fine-tuning-with-trl (folded in)
   GRPO isn't a framework, it's a trainer inside TRL. Moved the 17KB
   deep-dive SKILL.md to references/grpo-training.md and the working
   template to templates/basic_grpo_training.py. TRL's GRPO workflow
   section now points to both. Atropos skill's related_skills updated.

3. guidance → optional-skills/mlops/
   Dropped from built-in. Outlines (still built-in) covers the same
   structured-generation ground with wider adoption. Listed in the
   optional catalog for users who specifically want Guidance.

Net: 3 fewer built-in skill lines in every system prompt, zero content
loss. Contributor authorship preserved via git rename detection.

…dance→optional) (NousResearch#11965)

Three tightly-scoped built-in skill consolidations to reduce redundancy in
the available_skills listing injected into every system prompt:

1. gguf-quantization → llama-cpp (merged)
   GGUF is llama.cpp's format; two skills covered the same toolchain. The
   merged llama-cpp skill keeps the full K-quant table + imatrix workflow
   from gguf and the ROCm/benchmarks/supported-models sections from the
   original llama-cpp. All 5 reference files preserved.

2. grpo-rl-training → fine-tuning-with-trl (folded in)
   GRPO isn't a framework, it's a trainer inside TRL. Moved the 17KB
   deep-dive SKILL.md to references/grpo-training.md and the working
   template to templates/basic_grpo_training.py. TRL's GRPO workflow
   section now points to both. Atropos skill's related_skills updated.

3. guidance → optional-skills/mlops/
   Dropped from built-in. Outlines (still built-in) covers the same
   structured-generation ground with wider adoption. Listed in the
   optional catalog for users who specifically want Guidance.

Net: 3 fewer built-in skill lines in every system prompt, zero content
loss. Contributor authorship preserved via git rename detection.

…dance→optional) (NousResearch#11965)

Three tightly-scoped built-in skill consolidations to reduce redundancy in
the available_skills listing injected into every system prompt:

1. gguf-quantization → llama-cpp (merged)
   GGUF is llama.cpp's format; two skills covered the same toolchain. The
   merged llama-cpp skill keeps the full K-quant table + imatrix workflow
   from gguf and the ROCm/benchmarks/supported-models sections from the
   original llama-cpp. All 5 reference files preserved.

2. grpo-rl-training → fine-tuning-with-trl (folded in)
   GRPO isn't a framework, it's a trainer inside TRL. Moved the 17KB
   deep-dive SKILL.md to references/grpo-training.md and the working
   template to templates/basic_grpo_training.py. TRL's GRPO workflow
   section now points to both. Atropos skill's related_skills updated.

3. guidance → optional-skills/mlops/
   Dropped from built-in. Outlines (still built-in) covers the same
   structured-generation ground with wider adoption. Listed in the
   optional catalog for users who specifically want Guidance.

Net: 3 fewer built-in skill lines in every system prompt, zero content
loss. Contributor authorship preserved via git rename detection.

…dance→optional) (NousResearch#11965)

Three tightly-scoped built-in skill consolidations to reduce redundancy in
the available_skills listing injected into every system prompt:

1. gguf-quantization → llama-cpp (merged)
   GGUF is llama.cpp's format; two skills covered the same toolchain. The
   merged llama-cpp skill keeps the full K-quant table + imatrix workflow
   from gguf and the ROCm/benchmarks/supported-models sections from the
   original llama-cpp. All 5 reference files preserved.

2. grpo-rl-training → fine-tuning-with-trl (folded in)
   GRPO isn't a framework, it's a trainer inside TRL. Moved the 17KB
   deep-dive SKILL.md to references/grpo-training.md and the working
   template to templates/basic_grpo_training.py. TRL's GRPO workflow
   section now points to both. Atropos skill's related_skills updated.

3. guidance → optional-skills/mlops/
   Dropped from built-in. Outlines (still built-in) covers the same
   structured-generation ground with wider adoption. Listed in the
   optional catalog for users who specifically want Guidance.

Net: 3 fewer built-in skill lines in every system prompt, zero content
loss. Contributor authorship preserved via git rename detection.

…dance→optional) (NousResearch#11965)

Three tightly-scoped built-in skill consolidations to reduce redundancy in
the available_skills listing injected into every system prompt:

1. gguf-quantization → llama-cpp (merged)
   GGUF is llama.cpp's format; two skills covered the same toolchain. The
   merged llama-cpp skill keeps the full K-quant table + imatrix workflow
   from gguf and the ROCm/benchmarks/supported-models sections from the
   original llama-cpp. All 5 reference files preserved.

2. grpo-rl-training → fine-tuning-with-trl (folded in)
   GRPO isn't a framework, it's a trainer inside TRL. Moved the 17KB
   deep-dive SKILL.md to references/grpo-training.md and the working
   template to templates/basic_grpo_training.py. TRL's GRPO workflow
   section now points to both. Atropos skill's related_skills updated.

3. guidance → optional-skills/mlops/
   Dropped from built-in. Outlines (still built-in) covers the same
   structured-generation ground with wider adoption. Listed in the
   optional catalog for users who specifically want Guidance.

Net: 3 fewer built-in skill lines in every system prompt, zero content
loss. Contributor authorship preserved via git rename detection.