knowledge: distill Lily with portable AREX workflow

docs/knowledge-base.md

@@ -14,7 +14,7 @@ separate work, not an implemented capability of this knowledge base.
 ```text
 src/inferrsi/data/skill_library/
   README.md                         Library navigation
-  skill-index.json                   Stable IDs → categorized paths/backend (62 skills)
+  skill-index.json                   Stable IDs → categorized paths/backend (63 skills)
   hardware/{ascend,cuda,host}/<id>/   Hardware/platform-specific complete skills
   frameworks/<framework>/<id>/      Framework-owned complete skills
   repositories/<repo>/              Engine entry, sub-skills and focused complete skills
@@ -171,18 +171,18 @@ Complete procedures, sidecars, references and cases are packaged, with 13 Ascend
 repositories, methods or workflows. The 21 engine and research-router skills
 use the same ownership layout under `repositories/<engine>/` and
 `workflows/inference-engine-research/`, including their sub-skills and references.
-The library contains 89 `SKILL.md` files, all in English.
+The library contains 93 `SKILL.md` files, all in English.
 The collection overview, import notes and source manifest belong to the research
 workflow's references; Strata design-space analysis belongs to Strata. The library
 root contains only navigation and the registry.
 
 The [generated catalog](../src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md)
-projects the 62 registered skills into the contribution catalog. Its records
+projects the 63 registered skills into the contribution catalog. Its records
 use `inferrsi.<backend>.skills.<name_with_underscores>` IDs, with `ascend` and
 `cuda` for scopes that depend on those backends and `common` for the remaining skills.
 Each `skill_documents.original` points to the full packaged procedure. The
 `skills` CLI retains the original hyphenated skill IDs and defaults to this
-62-ID registry; engine procedures remain available through library navigation
+63-ID registry; engine procedures remain available through library navigation
 and catalog document pointers.
 
 The registered [h3.c runtime audit](../src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md)

docs/reference-matrix.md

@@ -413,3 +413,8 @@ source maps, notices and imported/candidate states stay with their owners.
 | Source / revision | Inspected scope | Reuse, extraction and limits |
 | --- | --- | --- |
 | incoai/splash @ `39a97385f8560cf8a93972cec9b0a963c9195250`; AREX method @ `ac3fe1afa80fb9a09775ecfb2b6cc3ba850a2db6` | Selected format/memory planning, scheduler/cache/state/persistence, API/security/protocol, DFlash2/ANE/numerical and benchmark contracts | [Splash graph](../src/inferrsi/data/skill_library/repositories/splash/SKILL.md) with bounded file hashes, three safe offline helpers and retained notices. Actual compatible-agent portable workflow with user-approved native/source-module adaptation. Python checks are not Metal/ANE/model/disk-state or service qualification; required native evidence remains blocked. Source Apache-2.0 and third-party notices are independent of the `NO_LICENSE` unauthenticated-CLI fallback. |
+## Lily portable AREX extraction
+
+| Source / revision | Inspected scope | Reuse, extraction and limits |
+| --- | --- | --- |
+| perplexityai/pplx-garden `lily/` @ `1ed972ed3f0bd5616c997c9507c25616c63394fc`; AREX method @ `ac3fe1afa80fb9a09775ecfb2b6cc3ba850a2db6` | Selected exact architecture/affine packing, Metal ownership, strict API/session prefixes, native-test gating and versioned benchmark methods | [Lily graph](../src/inferrsi/data/skill_library/repositories/lily/SKILL.md), bounded hashes, safe offline helpers and Apache-2.0/NOTICE retention. Actual portable native-Rust/Metal adaptation, not a DisCo CLI/model run. Cargo/native/model/quality/performance evidence unavailable; later long-context prefill negatives and runner/report version mismatch are retained. `NO_LICENSE` is the unauthenticated resolver fallback, not a legal finding. |

docs/searchspace-matrix.md

@@ -452,3 +452,9 @@ and tile scheduling add no RAM/Host, SSD, Network or OS-control coverage.
 | --- | --- | --- | --- |
 | Accelerator / RAM / SSD | Diagnose / Configure: mandatory memory floors, expert/PLE stores, dynamic KV/state, disk spill and precision boundaries | [runtime-planning](../src/inferrsi/data/skill_library/repositories/splash/sub-skills/runtime-planning/SKILL.md) | Source and CPU syntax checks, not measured device/process peak memory or actual spill IO. |
 | Host / Accelerator / service boundary | Diagnose / Verify: salted prompt identity versus global image reuse, composite-state commit/reclaim, persistent namespace and process-local Responses history, adaptive DFlash2 row budgeting | [serving-cache](../src/inferrsi/data/skill_library/repositories/splash/sub-skills/serving-cache/SKILL.md) and [qualification](../src/inferrsi/data/skill_library/repositories/splash/sub-skills/qualification/SKILL.md) | Python codec/LRU and descriptive statistics do not qualify native Metal/ANE/model state, service SLOs or efficacy. No measured Network coverage is added. |
+## Lily exact-model source contracts
+
+| Resource | Stage / named mechanism | Canonical owner | Evidence boundary |
+| --- | --- | --- | --- |
+| Accelerator / RAM | Diagnose / Configure / Verify: exact affine-Q4 plus role-Q8, shared buffer views, state/scratch/sequence capacity and completion ownership | [model-runtime](../src/inferrsi/data/skill_library/repositories/lily/sub-skills/model-runtime/SKILL.md) | Source/Python selected-rule checks, not Rust loading, actual memory fit, Metal synchronization or model quality. |
+| Host / Accelerator / service boundary | Diagnose / Verify: strict API, extra lookahead token, strict token prefix before key preference, actually-fed state retention and version/metric qualification | [serving-cache](../src/inferrsi/data/skill_library/repositories/lily/sub-skills/serving-cache/SKILL.md) and [qualification](../src/inferrsi/data/skill_library/repositories/lily/sub-skills/qualification/SKILL.md) | Compiler/native/model stages not run; CPU references and ignored/cfg-omitted tests are not GPU evidence. No measured service or Network coverage is added. |

src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md

@@ -1,6 +1,6 @@
 # InferRSI skill discovery index
 
-Generated abstracts for all 62 registered skills in `data/skill_library/`.
+Generated abstracts for all 63 registered skills in `data/skill_library/`.
 Their complete procedures, references and cases ship in the same package.
 `skill-index.json` maps stable skill IDs to categorized directories. The
 reference and searchspace matrices
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
 IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
 procedures use their corresponding backend; shared methods use `common`.
 
-Source snapshot: [99fca181e71fab22c09bb1967335d0653852eff3](https://github.com/InferMatrixLab/InferRSI/tree/99fca181e71fab22c09bb1967335d0653852eff3/src/inferrsi/data/skill_library).
+Source snapshot: [7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c](https://github.com/InferMatrixLab/InferRSI/tree/7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c/src/inferrsi/data/skill_library).
 
 ```bash
 inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
 
 ```bash
 python tools/build_skill_index.py --source-revision <committed-source-revision>
-python tools/build_skill_index.py --source-revision 99fca181e71fab22c09bb1967335d0653852eff3 --check
+python tools/build_skill_index.py --source-revision 7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c --check
 ```
 
 `--check` detects missing, stale and unexpected generated records without writing.
@@ -83,6 +83,7 @@ References and cases ship with their owning skill, not as duplicate knowledge ab
 | [kernel-writing-guide](common/skills/kernel-writing-guide.json) | common | candidate |
 | [kv-tier-management](common/skills/kv-tier-management.json) | common | candidate |
 | [lazy-evaluation-stream-lifetimes](common/skills/lazy-evaluation-stream-lifetimes.json) | common | candidate |
+| [lily](common/skills/lily.json) | common | candidate |
 | [npu-skill-factory](common/skills/npu-skill-factory.json) | common | candidate |
 | [optimization-search-policy](common/skills/optimization-search-policy.json) | common | candidate |
 | [os-process-placement](common/skills/os-process-placement.json) | common | candidate |

src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json

@@ -21,8 +21,8 @@
   "sources": [
     {
       "type": "git",
-      "url": "https://github.com/InferMatrixLab/InferRSI/blob/99fca181e71fab22c09bb1967335d0653852eff3/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
-      "commit": "99fca181e71fab22c09bb1967335d0653852eff3",
+      "url": "https://github.com/InferMatrixLab/InferRSI/blob/7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+      "commit": "7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c",
       "paths": [
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
@@ -41,7 +41,7 @@
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md": "d494fc7e539cbb7388189bd7b3f04bb5c4983fdd7a82484348aad1cee7f741f2",
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json": "71c68431663ed2336cccc985a354adab6b13b4cfd6123a18a5d8d53c28268509",
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/references/source-notes.md": "6ffbfb68cc7e04923b4fbca2a73a7555b7c3b45a6f40819bb5f3213ef05cf88d",
-    "src/inferrsi/data/skill_library/skill-index.json": "027d1e77cd0145135abc65b67efb3aa799f6f88c4e3a16db74314cbb9a08acc4"
+    "src/inferrsi/data/skill_library/skill-index.json": "82701425f9ac2a1e75dbb75185ab38d905b5a75a6f66e69e774c6d2c48fa1809"
   },
   "skill_metadata": {
     "name": "ascend-aclgraph-capture-replay",

src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json

@@ -23,8 +23,8 @@
   "sources": [
     {
       "type": "git",
-      "url": "https://github.com/InferMatrixLab/InferRSI/blob/99fca181e71fab22c09bb1967335d0653852eff3/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
-      "commit": "99fca181e71fab22c09bb1967335d0653852eff3",
+      "url": "https://github.com/InferMatrixLab/InferRSI/blob/7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+      "commit": "7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c",
       "paths": [
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
@@ -41,7 +41,7 @@
   "source_files": {
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md": "03829039860ece35519f2e4c339a48b5014ec25e07a2c150a3efb6a3a4e35b4a",
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json": "80d80c15514919826fa72d6f6cf26b76db8accd85d21187fc239232ca454e7bf",
-    "src/inferrsi/data/skill_library/skill-index.json": "027d1e77cd0145135abc65b67efb3aa799f6f88c4e3a16db74314cbb9a08acc4"
+    "src/inferrsi/data/skill_library/skill-index.json": "82701425f9ac2a1e75dbb75185ab38d905b5a75a6f66e69e774c6d2c48fa1809"
   },
   "skill_metadata": {
     "name": "ascend-device-health",

src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json

@@ -24,8 +24,8 @@
   "sources": [
     {
       "type": "git",
-      "url": "https://github.com/InferMatrixLab/InferRSI/blob/99fca181e71fab22c09bb1967335d0653852eff3/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
-      "commit": "99fca181e71fab22c09bb1967335d0653852eff3",
+      "url": "https://github.com/InferMatrixLab/InferRSI/blob/7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+      "commit": "7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c",
       "paths": [
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
@@ -44,7 +44,7 @@
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md": "4ce9dcadd1ae3c7a8cc633336760d0a3c382f354f1b7028e3a10d28fa0d0c9fa",
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json": "b6cb25879b1bca5f5af08b48776f2e664cf5dcd11a0efb1c4f56879e2afa9006",
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/awesome-ascend-communication-tests.md": "0cb27a3d24409171bb414d7ebf0c49ad62be5f46482f29624695496ba9eb3e63",
-    "src/inferrsi/data/skill_library/skill-index.json": "027d1e77cd0145135abc65b67efb3aa799f6f88c4e3a16db74314cbb9a08acc4"
+    "src/inferrsi/data/skill_library/skill-index.json": "82701425f9ac2a1e75dbb75185ab38d905b5a75a6f66e69e774c6d2c48fa1809"
   },
   "skill_metadata": {
     "name": "ascend-distributed-parallel",

src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json

@@ -22,8 +22,8 @@
   "sources": [
     {
       "type": "git",
-      "url": "https://github.com/InferMatrixLab/InferRSI/blob/99fca181e71fab22c09bb1967335d0653852eff3/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
-      "commit": "99fca181e71fab22c09bb1967335d0653852eff3",
+      "url": "https://github.com/InferMatrixLab/InferRSI/blob/7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+      "commit": "7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c",
       "paths": [
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
@@ -40,7 +40,7 @@
   "source_files": {
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md": "9203cc5a14a1d65df5fbf275734b93be023e06527459b2f79864f28a338cb44a",
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json": "72b41e7845915d34b09219624e82976386f3125816293540c2c38143fe6b477f",
-    "src/inferrsi/data/skill_library/skill-index.json": "027d1e77cd0145135abc65b67efb3aa799f6f88c4e3a16db74314cbb9a08acc4"
+    "src/inferrsi/data/skill_library/skill-index.json": "82701425f9ac2a1e75dbb75185ab38d905b5a75a6f66e69e774c6d2c48fa1809"
   },
   "skill_metadata": {
     "name": "ascend-graph-mode",

src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json

@@ -22,8 +22,8 @@
   "sources": [
     {
       "type": "git",
-      "url": "https://github.com/InferMatrixLab/InferRSI/blob/99fca181e71fab22c09bb1967335d0653852eff3/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
-      "commit": "99fca181e71fab22c09bb1967335d0653852eff3",
+      "url": "https://github.com/InferMatrixLab/InferRSI/blob/7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+      "commit": "7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c",
       "paths": [
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
@@ -40,7 +40,7 @@
   "source_files": {
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md": "8fdf46fb2743b67a66bc069d22a45305a222debfb606777bc451b4b8f31d9cc6",
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json": "be681a3206e5e183b4c9670c9d7784bcffce18c891449e5b15f94ca5f1324b9a",
-    "src/inferrsi/data/skill_library/skill-index.json": "027d1e77cd0145135abc65b67efb3aa799f6f88c4e3a16db74314cbb9a08acc4"
+    "src/inferrsi/data/skill_library/skill-index.json": "82701425f9ac2a1e75dbb75185ab38d905b5a75a6f66e69e774c6d2c48fa1809"
   },
   "skill_metadata": {
     "name": "ascend-model-adaptation",

src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json

@@ -23,8 +23,8 @@
   "sources": [
     {
       "type": "git",
-      "url": "https://github.com/InferMatrixLab/InferRSI/blob/99fca181e71fab22c09bb1967335d0653852eff3/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
-      "commit": "99fca181e71fab22c09bb1967335d0653852eff3",
+      "url": "https://github.com/InferMatrixLab/InferRSI/blob/7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+      "commit": "7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c",
       "paths": [
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
@@ -41,7 +41,7 @@
   "source_files": {
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md": "401981cf7828edcab0c9ea882f7ecd83badfa3c2a95006e912cf99d67b3d6a12",
     "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json": "efd37bb23acb500dad4ec8ebe7ddfe5c3f196374052825f923ac85da8445f06b",
-    "src/inferrsi/data/skill_library/skill-index.json": "027d1e77cd0145135abc65b67efb3aa799f6f88c4e3a16db74314cbb9a08acc4"
+    "src/inferrsi/data/skill_library/skill-index.json": "82701425f9ac2a1e75dbb75185ab38d905b5a75a6f66e69e774c6d2c48fa1809"
   },
   "skill_metadata": {
     "name": "ascend-operator-profiling",

src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json

@@ -24,8 +24,8 @@
   "sources": [
     {
       "type": "git",
-      "url": "https://github.com/InferMatrixLab/InferRSI/blob/99fca181e71fab22c09bb1967335d0653852eff3/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
-      "commit": "99fca181e71fab22c09bb1967335d0653852eff3",
+      "url": "https://github.com/InferMatrixLab/InferRSI/blob/7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+      "commit": "7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c",
       "paths": [
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
@@ -42,7 +42,7 @@
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     "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json": "04d2002fc8a0a7becf86b0b73daaf2da8716ab466d7f988da43d41a10f26680e",
-    "src/inferrsi/data/skill_library/skill-index.json": "027d1e77cd0145135abc65b67efb3aa799f6f88c4e3a16db74314cbb9a08acc4"
+    "src/inferrsi/data/skill_library/skill-index.json": "82701425f9ac2a1e75dbb75185ab38d905b5a75a6f66e69e774c6d2c48fa1809"
   },
   "skill_metadata": {
     "name": "ascend-operator-tuning",

src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json

@@ -22,8 +22,8 @@
   "sources": [
     {
       "type": "git",
-      "url": "https://github.com/InferMatrixLab/InferRSI/blob/99fca181e71fab22c09bb1967335d0653852eff3/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
-      "commit": "99fca181e71fab22c09bb1967335d0653852eff3",
+      "url": "https://github.com/InferMatrixLab/InferRSI/blob/7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+      "commit": "7766bcd57817aa80bfab3ffdb9fd1cd12e902c9c",
       "paths": [
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
         "src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
@@ -40,7 +40,7 @@
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   },
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     "name": "ascend-optimization-casebook",