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Claude Skills by air-gapped
github.com/air-gapped74 skills0 installs108 views
- AiperfNVIDIA AIPerf — vendor-neutral generative-AI inference benchmarking (genai-perf successor). Covers `aiperf profile` with concurrency / request-rate / fixed-schedule trace replay / user-centric / multi-run confidence, 18 endpoint types (chat, completions, embeddings, rankings, responses, image-gen, image-edit, video-gen, NIM, HF-TGI, raw, template, etc.), 12 custom dataset formats (single_turn, multi_turn, mooncake_trace, bailian_trace, burst_gpt_trace, baseten_trace, weka_trace, random_pool, ...Votes: 0GitHub stars: 5
- Ansible Idrac 9 10Run and debug `dellemc.openmanage` Ansible playbooks against Dell PowerEdge **iDRAC 9** (14G–16G) and **iDRAC 10** (17G — R670, R770, R870, R970, XE9780, XE9785). Covers the iDRAC 10 / iDRAC 9 ≥ 7.30.10.50 `BasicAuthState: Unadvertised` default that silently 401s `ansible.builtin.uri` (Dell KB 000437501), the `idrac_session` + `x_auth_token` lifecycle with `block:/always:`, `force_basic_auth: true` fallback for raw Redfish, OMSDK modules (`idrac_firmware`, `idrac_server_config_profile`) that ...Votes: 0GitHub stars: 5
- Argo Cd AppsAuthor and maintain Argo CD `Application` and `ApplicationSet` manifests as a GitOps consumer (publisher), targeting Argo CD v3.4 / v3.5 (Sept 2026). Covers source types (Helm, Kustomize, OCI, multi-source, plugin), sync policies + options + waves + hooks, ApplicationSet generators (List, Cluster, Git, Matrix, Merge, SCMProvider, PullRequest, Plugin, ClusterDecisionResource), Progressive Sync (Beta), Source Hydrator (Beta since v3.5), AppProjects, RBAC, sync impersonation (`destinationService...Votes: 0GitHub stars: 5
- AutoresearchKarpathy-pattern autoresearch — autonomous hill-climbing over a measurable metric, deep multi-agent research, or research-then-optimize. Three modes: Optimize (keep/discard ratchet), Research (STORM multi-perspective), Improve.Votes: 0GitHub stars: 5
- Baml ExpertBAML (Boundary ML) expert for projects defining LLM calls as typed functions in .baml files with a generated Python client. Use whenever the repo contains baml_src/, baml_client/, baml-cli commands, or imports from baml_py / baml_client. Covers .baml syntax (function, class, enum, client, test, retry_policy, attributes), Python integration (baml_client sync/async, streaming, ClientRegistry, Collector, TypeBuilder), Schema-Aligned Parsing, ctx.output_format, @@assert / @@check tests, @stream.d...Votes: 0GitHub stars: 5
- Gpu Host TuningAudit AND tune Linux/GPU inference hosts — read-only host snapshotVotes: 0GitHub stars: 5
- HelmThis skill should be used for Helm chart work in either direction. Authoring: creating charts, templates and _helpers.tpl, values.yaml patterns, Chart.yaml, values.schema.json, helm-docs, library charts, chart CI/CD and signing. Consuming: carrying a values file across chart versions with a three-way merge, and why a chart accepted a key that never took effect. Covers Helm 4 (SSA, WASM, OCI digest), OpenShift compatibility, CRD management, and production templates.Votes: 0GitHub stars: 5
- Jinja ExpertAuthor, read, and debug Jinja2 templates across the three places Jinja lives in 2026 — HuggingFace `chat_template.jinja` (rendered by `apply_chat_template` for vLLM / sglang), Ansible playbooks + `.j2` files, and Jinja-adjacent Kubernetes workflows (`values.yaml.j2`, `kubernetes.core.k8s + template`, Helm post-renderers). Companion to the `helm` skill — Helm charts are Go `text/template` + Sprig, not Jinja, and this skill makes that disambiguation explicit.Votes: 0GitHub stars: 5
- KedaConfigure, operate, and master KEDA (Kubernetes Event-driven Autoscaling) — ScaledObject, ScaledJob, TriggerAuthentication CRDs, 79 scalers, HPA behavior tuning, scale-to-zero, the KEDA HTTP Add-on, production hardening, multi-trigger semantics, scalingModifiers formulas, GitOps integration, and troubleshooting stuck scalers. Covers the common traps (cooldownPeriod only applies to N→0, CPU/memory cannot drive scale-to-zero alone, activationThreshold vs threshold, multi-trigger max-of semantic...Votes: 0GitHub stars: 5
- Keycloak IamOperate, configure, deploy, secure, and integrate with Keycloak (open-source IAM) — the modern Quarkus distribution (24.x–26.8.x), the Keycloak Operator with `Keycloak` and `KeycloakRealmImport` CRDs, realm/client/identity-provider configuration, plus legacy 16.x–23.x instances (incl. WildFly "-legacy" builds) and verifying realm/client config survived a version migration.Votes: 0GitHub stars: 5
- Lmcache MpLMCache multiprocess (MP) mode — standalone LMCache server in its own pod/process that vLLM connects to over ZMQ. Gives process isolation, no GIL contention on the inference path, one cache shared by multiple vLLM pods per node, and CPU-memory scaling independent of GPU memory. Covers the `LMCacheMPConnector` path (vs the in-process `LMCacheConnectorV1`), the DaemonSet+Deployment K8s pattern and LMCache Operator, the L1 (CPU DRAM) + L2 (NIXL, fs, mooncake_store, s3, Redis) cascade, the `lmcac...Votes: 0GitHub stars: 5
- Makefile Best PracticesMakefile best practices, patterns, and templates for GNU Make 4.x — dependency graphs, task-runner workflows, parallel-safe recipes, self-documenting help targets, and language-specific patterns (Go, Python, Node, Docker, Helm, POSIX).Votes: 0GitHub stars: 5
- Nvidia Datacenter BringupBring up NVIDIA HGX/DGX datacenter GPU hosts on Ubuntu 24.04 LTS — air-gapped or connected, Secure Boot enabled. Covers B300/B200/H100/A100/L40S/L4 driver+fabricmanager+NVLSM+DOCA-OFED install order and exact package set from NVIDIA CUDA repo + DOCA repo. Triggers on B300/B200/HGX/DGX install, "fabricmanager won't start", "system not yet initialized" / cudaErrorSystemNotReady, NVLSM missing, ib_umad not loading, DOCA-OFED before NVIDIA driver, nvidia-driver-pinning-XXX, nvlink5-XXX, nvidia-op...Votes: 0GitHub stars: 5
- Nvidia NixlNVIDIA Inference Xfer Library (NIXL) operator + developer reference. Point-to-point KV-cache and tensor transport for distributed inference (Dynamo, vLLM, SGLang). Covers the agent API (full Python reference; C++/Rust via upstream pointers), all 15 backend plugins (UCX, GDS, GDS_MT, libfabric, mooncake, posix, hf3fs, obj/S3, azure_blob, infinia/DDN, gusli, uccl, gpunetio/DOCA, telemetry, tracing), AMD ROCm/HIP support, build paths (pip nixl-cu12/cu13, meson+ninja from source), ETCD vs side-ch...Votes: 0GitHub stars: 5
- Open Webui EmbeddingsChoose and wire open-weights embedding + reranker models into Open WebUI's RAG pipeline, across TEI, vLLM, OpenRouter or LiteLLM. Covers model selection on current MTEB data (quality, zero-shot contamination, and a FLOPs-based throughput model, since no leaderboard publishes speed), the query/document prefix strings each model needs and the PREFIX_FIELD_NAME mode switch that silently eats them, the exact wire shapes Open WebUI sends (URL auto-append on embed but NOT rerank; strict Cohere rera...Votes: 0GitHub stars: 5
- Open Webui Valkey WebsocketDeploy Open WebUI multi-pod with WebSockets and Valkey/Redis Sentinel at 1000+ user scale on Kubernetes. Centerpiece is the structural Socket.IO+Redis frame-amplification bug (#23733) that crippled multi-pod streaming before v0.11.1, and the maintainer-endorsed mitigation (`CHAT_RESPONSE_STREAM_DELTA_CHUNK_SIZE`). Covers all multi-pod env vars, the custom-model-icon perf history (base64-in-/api/models, fixed late 2025–Apr 2026), the official helm chart's gaps (bundled Redis is unsuitable for ...Votes: 0GitHub stars: 5
- Openshift AppPackage applications for OpenShift deployment: container images (UBI, arbitrary UID, multi-stage builds), packaging formats (Helm, Kustomize, Operators, OLM v1), CI/CD (Tekton, ArgoCD, Shipwright, Conforma), security (SCC, PSA, supply chain, image signing, secrets), operations (Routes, probes, scaling, monitoring, storage), disconnected/air-gapped patterns, and critical gotchas. Also when an app "works on Kubernetes but fails on OpenShift" (SCC denied, random/arbitrary UID, permission errors)...Votes: 0GitHub stars: 5
- Prometheus Mimir GrafanaQuery Prometheus and Grafana Mimir, write and debug PromQL, and build or fix Grafana dashboards — for agents solving problems from metrics. Covers the Prometheus HTTP API (`/api/v1/query`, `query_range`, `series`, `labels`, `metadata`), Mimir multi-tenancy (`X-Scope-OrgID`, federation `a|b|c`, per-tenant 422/429 limits), the PromQL surface (selectors, rate family, classic + native histograms, `histogram_quantile`, vector matching `on()`/`group_left`, recording rules), Grafana dashboard JSON (...Votes: 0GitHub stars: 5
- Sglang HicacheSGLang HiCache (hierarchical KV cache) — three-tier prefix cache: GPU HBM (L1) → pinned host DRAM (L2) → distributed L3 (Mooncake / 3FS / NIXL / AIBrix / EIC / SiMM / file / LMCache). Covers `--enable-hierarchical-cache`, all `--hicache-*` flags, write policies, page_first* layouts, prefetch policy (best_effort / wait_complete / timeout), per-rank sizing, MHA / MLA / DSA / Mamba / SWA support matrix (SWA + 3FS hybrid shipped in v0.5.11), runtime attach/detach HTTP admin, and auto-rewrite star...Votes: 0GitHub stars: 5
- Sglang Model GatewaySGLang Model Gateway (`sgl-model-gateway`, formerly `sgl-router`) — Rust router fronting vLLM and SGLang inference workers on Kubernetes. Covers first-class vLLM gRPC backend plus HTTP transparent-proxy for vanilla vLLM, the policy set (six `--policy` values, `cache_aware` default), tokenizer-format dispatch (`tokenizer.json` HF-fast vs `tiktoken.model` BPE — including when neither is required because `cache_aware` is text-based), air-gapped recipe (gateway ignores `HF_ENDPOINT`, mount tokeni...Votes: 0GitHub stars: 5
- Skill ImproverImprove, test and maintain Claude Code skills. Modes: `fix` runs a skill's eval cases and fixes what the failed answers show is missing; `improve` hill-climbs a 10-dimension quality rubric with blind scoring and an A/B comparator; `score` rates a skill without editing it; `freshen` verifies the skill's external references online and applies updates; `trigger` measures and tunes how reliably the description fires; `outcome` runs eval cases with and without the skill; `floor` measures what a ba...Votes: 0GitHub stars: 5
- Transformers Config Tokenizers ExpertPreflight reference for HuggingFace snapshots — what vLLM, sglang, and transformers.generate see at runtime. Covers config-file precedence (tokenizer.json, tokenizer_config.json, generation_config.json, chat_template.jinja), transformers v5 tokenizer-class taxonomy (TokenizersBackend, PythonBackend, MistralCommonBackend, TikTokenTokenizer), special-token discovery (all_special_ids, added_tokens_decoder, extra_special_tokens, backend_tokenizer.get_added_tokens_decoder), chat-template Jinja con...Votes: 0GitHub stars: 5
- Vllm BenchmarkingRun production vLLM benchmarks — `vllm bench` (serve, throughput, latency, sweep, startup, mm-processor), request-rate vs max-concurrency semantics, TTFT/TPOT/ITL/E2EL percentiles, goodput SLO measurement, prefix-cache workloads, air-gapped operation (HF_ENDPOINT, ModelScope, hf-mirror, offline cache). Methodology split — SLO health checks vs A/B change sweeps — plus pitfalls that produce misleading numbers (no warmup, wrong tokenizer, random-as-prod, `--request-rate inf` alone).Votes: 0GitHub stars: 5
- Vllm CachingvLLM tiered KV cache configuration for production H100/H200 clusters. Native CPU offload, LMCache (CPU+NVMe+GDS), NixlConnector (disaggregated prefill), MooncakeConnector (RDMA), MultiConnector composition. Version gates, sizing math (flag total across TP, not per-GPU — opposite of SGLang), KV-vs-weights offload distinction operators most often get wrong.Votes: 0GitHub stars: 5
- Vllm Chat TemplatesvLLM chat-template (prompt-side Jinja) operator reference. Template resolution precedence (`--chat-template` → AutoProcessor → tokenizer default → bundled fallback), `chat_template_kwargs` allowlist silently dropping `add_generation_prompt`/`enable_thinking`/custom kwargs (PR 27622 fix), 26 shipped `tool_chat_template_*.jinja` files, known template-layer bugs for Qwen3/Qwen3-Coder, DeepSeek-R1/V3/V3.1/V3.2, GPT-OSS, Kimi-K2, Llama-4, Mistral (HF vs mistral mode), Gemma-3/4, Phi-4, GLM. Prompt...Votes: 0GitHub stars: 5
- Vllm ConfigurationConfigure vLLM completely — YAML config file format, CLI arg precedence, full VLLM_*/HF_*/TRANSFORMERS_* env-var catalog, end-to-end recipe for air-gapped environments (internal HF mirrors, hf-mirror.com, ModelScope, HF_HUB_OFFLINE with pre-seeded cache, gated models offline, trust_remote_code supply-chain implications). VLLM_HOST_IP vs API-host confusion, Kubernetes-service-named-`vllm` env-var poisoning, usage-stats triple opt-out, YAML precedence surprises.Votes: 0GitHub stars: 5
- Vllm DeploymentUse this skill when authoring, reviewing, or fixing a vLLM Kubernetes manifest, Docker/Podman pod, or OpenShift ServingRuntime — even when the user does not say "vllm". Triggers on: lab cluster performance practices, cache mount + survival across pod restarts (/root/.cache, VLLM_CACHE_ROOT, TORCHINDUCTOR_CACHE_DIR, TRITON_CACHE_DIR, "do we have caches saved"), HF_TOKEN secret in pod env, liveness + readiness probe tuning (initialDelaySeconds, failureThreshold, "pod takes 12 min to boot"), ser...Votes: 0GitHub stars: 5
- Vllm Gemma 4 31bOperating-point reference for serving Gemma 4 31B on vLLM — TP sizing, max_model_len, max_num_seqs, gpu_memory_utilization, kv_cache_dtype, EAGLE3 spec-dec, chat_template choice.Votes: 0GitHub stars: 5
- Vllm Input ModalitiesvLLM non-chat inference surfaces — text embeddings (`/v1/embeddings`, `/v2/embed`), reranking/scoring (`/rerank`, `/score`), speech-to-text (`/v1/audio/transcriptions`, `/v1/audio/translations`), document OCR via VLMs. Covers 2026 `--runner pooling` (replacing `--task embed`), v0.20 deprecations (`score`→`classify`, multitask pooling, `encode`→`token_embed`+`token_classify`), Matryoshka/MRL, ColBERT/ColPali/ColQwen late-interaction MaxSim, Cohere v2 `/v2/embed`, Jina v3/v4/v5 quirks, cross-en...Votes: 0GitHub stars: 5
- Vllm Nvidia HardwareNVIDIA AI-hardware + vLLM-platform reference covering Hopper (H100/H200), Blackwell (B100/B200/B300) and Blackwell Ultra, Grace-Blackwell superchips and NVL72 racks (GB200, GB300), Vera Rubin (R100/R300) with VR200 NVL144 and Kyber NVL576, Dell PowerEdge XE family and IR5000/IR7000/IR9048 racks. Per-SKU HBM, FP4/FP8/FP16 TFLOPs, NVLink5, TDP, rack power/cooling (135 kW GB300, 180-220 kW NVL144, 600 kW Kyber), DLC vs RDHx, 800 VDC HVDC. Memory-wall roofline, HBM3E→HBM4 supply 2026. vLLM attent...Votes: 0GitHub stars: 5
- Vllm ObservabilityObserve production vLLM — `/metrics` Prometheus surface (V1 engine), SLO-driven alerting on TTFT/ITL/queue/KV/preemption/aborts/corrupted-logits, shipping Grafana dashboards in `examples/observability/`, OTLP tracing with `--otlp-traces-endpoint` and `--collect-detailed-traces={model,worker,all}`, diagnostic rules to triage from /metrics alone — queue-grows + TPOT-stable means capacity, queue-stable + TPOT-grows means context/model, DCGM `SM_OCCUPANCY` is the real GPU-saturation signal not `G...Votes: 0GitHub stars: 5
- Vllm OmnivLLM-Omni output-side multimodal generation — image (FLUX.1/2, Qwen-Image, GLM-Image, BAGEL, SD3.5, HunyuanImage-3.0), video (Wan2.1/2.2, LTX-2, HunyuanVideo-1.5), TTS (Qwen3-TTS, CosyVoice3, Voxtral-TTS), any-to-any omni (Qwen3-Omni, Qwen2.5-Omni, MiMo-Audio) via `vllm serve --omni`. Stage-based disaggregation (OmniConnector + Mooncake + RDMA), `/v1/images/generations`, async+sync `/v1/videos`, `/v1/audio/speech` with voice-upload, PCM16 WebSocket `/v1/realtime`, Ulysses/Ring SP + CFG-parall...Votes: 0GitHub stars: 5
- Vllm Performance TuningvLLM performance-tuning operator reference — tuning workflow (baseline → bottleneck → knob → re-bench), fused-MoE kernel autotune (`benchmark_moe.py` generates `E=N,N=M,device_name=X.json` configs), DeepEP all-to-all + expert parallelism + EPLB, CUDA graph modes (FULL_AND_PIECEWISE default), torch.compile AOT + compile cache, scheduler knobs (`--max-num-batched-tokens`, `--max-num-seqs`, `--async-scheduling`), TP/EP/DP/PP decision tree, NCCL/DCGM on H100/H200/B200/GB200, PD disaggregation (Ni...Votes: 0GitHub stars: 5
- Vllm QuantizationvLLM datacenter-GPU quantization — picking, configuring, troubleshooting NVFP4, FP8, MXFP4, MXFP8, AWQ, GPTQ, INT8, compressed-tensors, modelopt, quark on H100/H200/B200/B300/GB200/GB300. 30 `--quantization` flag values on current vLLM (31 through v0.27.x, before `bitsandbytes` moved out-of-tree in v0.28.0), KV-cache dtypes (fp8_e4m3, nvfp4, per-token-head, turboquant), MoE backend selection (CUTLASS, TRTLLM, FlashInfer, DeepGEMM, Marlin, Qutlass), producing checkpoints with llm-compressor an...Votes: 0GitHub stars: 5
- K8s Components CheckerSurvey an RKE2 community cluster against an embedded compatibility registry of 20 stack components and produce a verdict for upgrade-readiness, drift-review, and version-skew questions. Components: RKE2, Rancher, Harvester, Cilium, Tetragon, cert-manager, Kyverno, KEDA, Argo CD, Harbor, Traefik, Rook, Ceph, OpenEBS, GitLab, ECK, Zalando postgres-operator, Grafana Mimir, NVIDIA GPU Operator, rancher-logging. Works air-gapped — compatibility data lives in `references/compat/`. Surveys run via `...Votes: 0GitHub stars: 5
- Vllm Reasoning ParsersvLLM reasoning-parser operator + developer reference. `--reasoning-parser` CLI wiring, `ReasoningParser` contract (non-streaming `extract_reasoning` + per-delta `extract_reasoning_streaming`), `is_reasoning_end` xgrammar gating, `--structured-outputs-config.enable_in_reasoning` bypass, 34 built-in parsers (v0.30.0) with per-model quirks, 15 production pitfalls, authoring custom parsers via `@ReasoningParserManager.register_module` or plugin.Votes: 0GitHub stars: 5
- Vllm Speculative DecodingPick, configure, tune, monitor vLLM speculative decoding in production. Thirteen SpeculativeMethod options (ngram, ngram_gpu, medusa, mlp_speculator, draft_model, suffix, custom_class, eagle, eagle3, dflash, dspark, mtp, extract_hidden_states), `--speculative-config` JSON schema, which methods pair with which target model family, Prometheus acceptance metric surface, version gates (v0.11.1 EAGLE-3 preamble fix, v0.16 parallel drafting, v0.18 ngram_gpu, v0.19 dflash and zero-bubble), composabi...Votes: 0GitHub stars: 5
- Vllm Tool ParsersvLLM tool-calling operator reference — picking `--tool-call-parser` per model family, writing custom parsers via `--tool-parser-plugin`, navigating vLLM source + GitHub tracker to debug any specific tool-call question. Pointer map, not source paraphrase. All 40+ built-in parsers (JSON-sentinel, pythonic, XML, harmony grammars), CLI contract, `prev_tool_call_arr`/`streamed_args_for_tool` flush invariants, diagnostic playbook (isolate template-vs-parser via raw `/v1/completions` + unicodedata c...Votes: 0GitHub stars: 5
- Airgap VettingVet an open-source product for air-gap readiness BEFORE adoption. Answers eight questions — telemetry, does-opt-out-actually-work, proxy-in-disguise over a hosted API, runtime downloads, custom-CA support, feature-level content egress / offline degradation, day-two sustainment (feed mirroring, staleness), and a 4-grade verdict (air-gap-native / possible-with-mirror / proxy-in-disguise / no-go). Two-pass: static grep of source + container image, then an optional dynamic harness (--network=none...Votes: 0GitHub stars: 5
- Analytical TroubleshootingStructured live troubleshooting for deviation problems: something worked (or should work) and now doesn't, and the cause is unknown. Staged method — quick likelihood-weighted tests first, escalating to a comparative IS/IS-NOT specification with distinctions-and-changes analysis when quick tests fail or the search space is large. Influenced by the problem-analysis tradition of Kepner & Tregoe. Works whether the user runs the tests (agent directs, user executes) or the agent can test directly.Votes: 0GitHub stars: 5
- Chat Completions ApiReference for the OpenAI Chat Completions API (/v1/chat/completions) and legacy /v1/completions as the lingua-franca compatibility protocol — the official spec incl. deprecation timeline and Responses-only feature delta, how 7 local servers (vLLM, SGLang, llama.cpp, Ollama, mistral.rs, Llama Stack/OGX, Lemonade) actually implement it, gateways (LiteLLM, Bifrost), 10 cloud providers' CC-compat endpoints (Anthropic, Gemini, DeepSeek, xAI, Groq, OpenRouter, Azure...), the reasoning_content/reaso...Votes: 0GitHub stars: 5
- Confluence Best PracticesAdvise on USING Confluence well, not operating it: make the structural call — is this a space, a page, or a child page? — diagnose why a wiki is a dread (can't find anything, content rots, duplicates, hidden by permissions, unreadable), and recommend the lean fix. Built FIRST for an agent that ACTS on Confluence (creates/organises/governs content via REST/CQL or an MCP server) and SECOND for helping humans author readable pages. Self-hosted Server/Data Center first (storage format NOT ADF; no...Votes: 0GitHub stars: 5
- Gitlab Best PracticesOperate self-managed GitLab on the official Helm chart — multi-hop upgrade campaigns across required stops, the chart-10 wall (bundled PostgreSQL, Redis and MinIO removed and now mandatory), PostgreSQL 17 being both the minimum and the maximum for GitLab 19.x, default flips invisible to a values diff, air-gapped image sets the chart will not reveal, backup/restore with external dependencies and the secrets that are deliberately not in the backup, Sidekiq migration-loss and HPA-flap traps, and...Votes: 0GitHub stars: 5
- Harvester UpgradePlan and run a controlled, COMMUNITY-edition Harvester HCI upgrade off an EOL line up to latest stable — the no-skip minor ladder (1.5→1.6→1.7→1.8; embedded RKE2/KubeVirt/Longhorn/SLE-Micro ride along), gated at each hop on first upgrading the EXTERNAL Rancher + a matching Harvester UI-extension (1.6↔Rancher 2.12, 1.7↔2.13, 1.8↔2.14). Covers air-gapped version detection, why node-upgrade order is NOT operator-choosable (forced serial; the pause knob is v1.7.0+ only) and how to protect VM-host...Votes: 0GitHub stars: 5
- Jira Best PracticesAdvise on USING Jira well, not operating it: make the structural call — is this an epic, a story, a task, or a sub-task? — and diagnose why a Jira is a dread, then recommend the lean fix. Adapt to the organisation's OWN hierarchy names, conventions, and working language instead of imposing a methodology. Self-hosted-first: Jira Data Center 10.3/11.x (no Cloud AI; dual Epic Link + Parent Link). Built for an agent that ACTS on Jira through the jira-cli tool or the mcp-atlassian MCP server while...Votes: 0GitHub stars: 5
- Jira CliDrive Atlassian Jira from the terminal with the `jira` CLI (jira-cli, v1.7.0) against ANY Jira — Cloud or on-premise/Data Center. Covers the full command surface (issue / epic / sprint / board / project / release), the non-interactive automation contract (`--no-input` + `--plain`/`--raw`/`--csv` for agent-safe, parseable output), JQL filtering, GitHub/Jira markdown → Atlassian Document Format (ADF) conversion, authentication for every backend (Cloud API token, on-prem basic, PAT/bearer, mTLS)...Votes: 0GitHub stars: 5
- Jira Confluence McpInstall, configure, secure, and troubleshoot the mcp-atlassian MCP server (sooperset/mcp-atlassian) that connects an agent to Jira/Confluence — including AIR-GAPPED setup (mirror the prebuilt image by digest; no PyPI/git mirror) and internal-CA / TLS handling (mount the CA vs JIRA_SSL_VERIFY=false). Self-hosted Data Center first: the #1 gotcha is DC uses JIRA_PERSONAL_TOKEN (a PAT), NOT the Cloud username+API-token pattern. Covers `claude mcp add`, the env-var catalog, hardening (READ_ONLY_MO...Votes: 0GitHub stars: 5
- Litellm ApiAdminister a LiteLLM proxy via its management REST API (keys, teams, users, orgs, models, budgets, spend) — a 447-path control plane where ~63% of paths are undocumented, 91 are hidden from /openapi.json, and the OpenAPI schema documents wrong field names. Centerpiece: four "empty means UNLIMITED" footguns (`models: []`, `allowed_routes: []`, additive access groups, team-member `[]`) where the natural reading is the opposite. Covers the real auth model (no-master-key = fully open, admin-viewe...Votes: 0GitHub stars: 5
- Litellm ValkeyRun LiteLLM proxy multi-pod with Redis/Valkey (standalone, Sentinel, or Cluster) so rate limits, budgets, and router state are actually shared across pods. Centerpiece: LiteLLM's dominant failure mode is SILENT fallback from Redis to per-pod in-memory enforcement (≥6 independent code paths, log-level warning, no metric) — a fleet quietly enforces N× its configured limits. Covers the 4-way coordination-Redis resolution order (incl. the undocumented `general_settings.coordination_redis` block, ...Votes: 0GitHub stars: 5
- Logging OperatorConfigure and operate the kube-logging logging-operator (formerly Banzai Cloud) on Kubernetes — the CRD-driven log pipeline: Fluent Bit collector → fluentd or syslog-ng aggregator → outputs. Covers the 16-CRD model (Logging, Flow/ClusterFlow, Output/ClusterOutput, FluentbitAgent, SyslogNG*, LoggingRoute) and its scope traps, worked recipes — especially parsing JSON pod logs on containerd (the Merge_Log/CRI `message`-vs-`log` trap and enableDockerParserCompatibilityForCRI) — match/routing sema...Votes: 0GitHub stars: 5