chore(skills): promote runbook skills to managed-skills; drop superseded SKILL.md

- 31 new managed skills (anubis/arr/authentik/hermes/freetoken/podman/llm-swap
  runbooks etc.) now tracked.
- Removed superseded skills: omp_harness_config, peon_ping_integration
  (replaced by user-authored peon-ping-* managed skills),
  rocmfp4-strix-benchmark-orchestration.
- New memory-root skills: niri_compositor_ops, omp_git_workflow,
  omp_model_config, quadlet-media-migration, homelab-service-triage,
  hermes-dankclaw-ops, frank-default-large-ops, caddy-auth-dns-playbook.

agent/managed-skills/freetoken-rocm-build/SKILL.md

@@ -0,0 +1,49 @@
+---
+name: freetoken-rocm-build
+description: "Verify and execute FreeToken build on ROCm hosts — check gfx1151, ROCm 6.3, hipcc, and dependency wheel availability (torch 2.11, sgl-kernel 0.4.5, flashinfer)"
+---
+
+# FreeToken ROCm Build
+
+## When to use
+Verify FreeToken can build on an ROCm host (Dankclaw, similar systems) before committing to the build path.
+
+## Steps
+
+1. **Check hardware**
+   ```
+   rocminfo | grep 'Name.*gfx'      # verify GPU architecture
+   lsmod | grep amdgpu              # driver loaded
+   ls /opt/rocm/bin/ | grep hipcc   # compiler available
+   ```
+
+2. **Check build deps**
+   ```
+   cmake --version                  # needs >=3.20
+   python3 --version                # needs >=3.10
+   gcc --version                    # needs >=9
+   ninja --version                  # optional but recommended
+   ```
+
+3. **Verify wheel availability**
+   ```
+   pip index versions torch         # needs 2.11-2.12 range
+   pip index versions sgl-kernel    # needs 0.4.5
+   pip index versions flashinfer-python  # needs >=0.6
+   ```
+   Check PyPI for `rocm` in wheel filenames, or use PyTorch ROCm index.
+
+4. **Build**
+   ```
+   git clone https://github.com/FlashML-org/FreeToken.git && cd FreeToken
+   python3 -m venv .venv && source .venv/bin/activate
+   pip install -e ".[accel]"        # installs fi + sgl extras
+   ```
+
+## Known issues
+- nvcc missing on Dankclaw — not needed for ROCm build, only for CUDA JIT
+- sgl-kernel at versioned endpoint may return 404 — use unversioned `pip index versions`
+- triton 3.6.0 pins to Linux only
+
+## CUDA alternative
+If building for CUDA: install `sudo pacman -S cuda` for nvcc, or use pre-built CUDA wheels that ship pre-compiled kernels.