「observe」の検索結果

Use this skill when the user is invoking `doca_spcx_cc` (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop a Programmable Congestion Control (SPCX) algorithm on a BlueField with a DPA processor against a live RDMA / RoCE fabric, or picking SPCX vs the established `doca-pcc` surface. Trigger even when the user does not say "DOCA SPCX" or "doca_spcx_cc" — typical implicit phrasings include "I want to write a custom RTT-based CC algorithm for my RoCE fabric", "my SPCX session loaded but throughput / latency didn't change", "doca_pcc status shows Active but factory CC seems to still be in charge", "DOCA_PCC_PS_ERROR on start", "is the programmable-CC surface available on my install", or "DPA-side algorithm image won't load". Refuse and route elsewhere for DPA-side algorithm authoring detail, factory PCC firmware configuration, read-only PCC counter inspection, raw DPA cycle profiling, RDMA library programming, or general DOCA install — those belong to other skills.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Live view of running coding units: showing which coding units are running right now, on which runtime and model, with observed tokens and elapsed time. Use when the user says: running-work-board, running work board, which units are running, what models are running, 지금 뭐 돌고 있어, 뭐가 돌고 있어, 어떤 모델로 돌고 있어, 실행 중인 작업 보여줘.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Accumulated tech debt to rank: build the severity-by-effort debt ledger from observed repo evidence - orient, audit the named dimensions with file:line citations, rank fixes and quick wins - and reconcile RESOLVED/NEW/CARRIED against the previous ledger on rerun. Use when the user says: tech-debt-audit, tech debt, tech debt audit, technical debt, technical debt audit, tech debt ledger, debt ledger, audit our tech debt.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] OMH skill portfolio health overview: prepare a metadata-only OMH skill portfolio dashboard with stale surfaces, observed failure signals, pending amendments, and top actions. Use when the user says: skill-health, skill health, skill portfolio health, skill dashboard, skill health dashboard, skill failure pattern dashboard, skill failure patterns, pending skill amendments.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Security event on the code already shipped -- a CVE in a dependency, a secret committed to the repo, a license question, an advisory: triage reachability and severity, contain in order, and never close a leaked secret before its rotation is observed. Use when the user says: security-event-response, security event response, cve, triage this cve, cve in our dependency, cve in a dependency, security advisory, dependabot alert.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Run efficiency and context usage report: report supplied local run efficiency while provider and host data stay unobserved. Use when the user says: run-efficiency, run efficiency report, local run efficiency, context utilization, tool duration report, 실행 효율 리포트, 컨텍스트 사용량, 도구 지연 시간.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Rendered UI needing a visual verdict: prepare observed-only rendered QA gates for web, frontend, image, document, and TUI surfaces. Use when the user says: visual-qa, visual qa, visual QA, visual quality assurance, visual check, web qa, web visual qa, screenshot qa.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Churn or weak activation among users: turn an observed onboarding, activation, retention, re-engagement, referral, or monetization problem into one consent-safe in-app journey or growth experiment plan with a bounded readout and an explicit decision. Use when the user says: lifecycle-growth, lifecycle growth, lifecycle marketing, lifecycle messaging, in-app journey, in-app message campaign, onboarding journey, onboarding nudge.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Self-hosted LLM serving on GPUs: choose the serving engine and quantization from decision tables, prepare deployment as an idempotent runbook with observed-only verification, and measure the endpoint with the standard TTFT/TPOT/goodput protocol. Use when the user says: inference-serving, inference serving, serve this model, serve the model, model serving, serving endpoint, vllm, llama.cpp.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Commit message or pull-request body to write for a change: draft it in the repository's own convention, with `Tested:` listing only commands observed to run and everything prepared but not run under `Not-tested:`. Use when the user says: commit-pr-authoring, commit message, commit messages, write the commit message, draft the commit message, commit body, squash message, pr body.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Data pipeline work -- an ETL or streaming job, a backfill or replay, duplicate events, a schema change downstream, a lineage question, a data-quality regression: make every rerun idempotent, bound every replay, and gate each load on observed checks. Use when the user says: data-pipelines, data pipeline, data pipelines, etl, elt, etl pipeline, etl job, etl backfill.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Browser login, click, or form task: policy overlay for browser tasks - add auth, confirmation, and observed-trace gates after preferring the native browser for ordinary URL, click, login, and form actions. Use when the user says: browser-operator, browser operator, browser task, browser operation, browser automation, browser session, webpage operation, web page operation.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Recurring Hermes job on a schedule (cron, digests): design recurring Hermes operations with schedule, delivery, silence policy, context chain, and prepared-vs-observed status. Use when the user says: automation-blueprint, scheduled ops, scheduled operation, scheduled operations, automation blueprint, cron blueprint, cron-ready, recurring ops.

日本語の概要は準備中です。原文の説明を表示しています。

[omh] Uncertain technical choice for a spike: bounded decision prototype workflow: resolve one uncertain interaction, API, performance, or integration choice with a disposable, isolated experiment whose observed result feeds planning. Use when the user says: decision-prototype, decision prototype, prototype this uncertain choice before planning, prototype before planning, prototype the uncertain choice, run a small spike, small spike, spike solution.

日本語の概要は準備中です。原文の説明を表示しています。

Monitors task execution for skill improvement opportunities. Use during ANY multi-step task, agentic workflow, or work session. Captures patterns, user corrections and methodology worth preserving as reusable skills. It writes observation files to the workspace. Also triggers in post-task feedback discussions and when the user mentions skill observations, the observation log, or skill taxonomy. Also known as "One Skill to Rule Them All" — trigger on this phrase too. IMPORTANT: invoke this skill before the FIRST tool call of any session and before writing or proposing a plan — any turn that will involve a tool call counts. This sentence is the session-start trigger and the only activation layer that survives an unreachable config file; pair it with a CLAUDE.md instruction or a harness session-start hook (references/environments.md) — description matching alone is not enforceable. A subagent dispatched by a session already running it does not run it: it writes nothing and puts its findings in its report.

日本語の概要は準備中です。原文の説明を表示しています。

Balance, normalize, and transform Hi-C contact matrices using cooler and cooltools. Apply iterative correction (ICE), compute expected values, and generate observed/expected matrices. Use when normalizing or transforming Hi-C matrices.

日本語の概要は準備中です。原文の説明を表示しています。

Design account-aware Alchemy throttling, bounded retries, and admission control from observed throughput rather than stale plan constants. Use when preventing or handling rate limits. Trigger with "Alchemy rate limit", "Alchemy throughput", or "fix Alchemy 429s".

日本語の概要は準備中です。原文の説明を表示しています。

Monitor and optimize Algolia request pressure using observed responses and bounded client behavior. Use when requests return 429, queues grow, or search and indexing compete for capacity. Trigger with "Algolia rate limit", "Algolia 429", or "throttle indexing".

日本語の概要は準備中です。原文の説明を表示しています。

Triage Abridge recording, note-review, Epic handoff, and access failures from observed evidence without inventing vendor error codes. Use when an Abridge clinical workflow is degraded. Trigger with "diagnose this Abridge issue".

日本語の概要は準備中です。原文の説明を表示しています。

Organization-grade cloud and supply-chain attack-surface discovery: S3/GCS/Azure Blob bucket discovery via observed-name mining (CNAME/cert-SAN/Wayback) and bounded two-class permutation (6 prefixes x 15 suffixes on trusted tokens, bounded target-bound expansion on subdomain stems), existence (HEAD/GET) vs public-listing confirmation, object-key triage into 9 value tiers (database dumps, credentials, IaC state, kubeconfig, VCS dirs, config, archives, PII, logs), dangling-CNAME bucket-takeover detection, and the ownership-gated severity model that stops an unattributable public bucket from becoming a false CRITICAL; the fully offline AWS-account-ID recovery from a leaked AKIA/ASIA/AROA access key (base32 decode, runnable stdlib Python, canonical test vector, AWS-documentation-example-ID screening); dependency-confusion confirmation for npm/PyPI (internal-signal classifier -- private-registry binding vs org-namespace match -- paired with a read-only public-registry 404 check and the npm scope-claimability nuance the public search API misses); and passive cloud-native/container/Kubernetes/CI control-plane fingerprinting (Lambda URLs, API Gateway, Cloud Run, App Service, kubelet/etcd/K8s API/dashboard, Jenkins/GitLab/Argo CD) as an org-attribution and exposure surface. Passive/discovery only -- no exploitation, no credential submission, no active control-plane confirmation (a stage-6 validate_cloud active tier is described but out of scope). Use when enumerating a target's cloud storage footprint, recovering an AWS account ID from a leaked key, confirming a supply-chain dependency-confusion vector, or fingerprinting cloud-native/K8s/CI infrastructure for an authorized external recon engagement.

日本語の概要は準備中です。原文の説明を表示しています。

Guides performance investigation, benchmarking, and optimization of the Grida Canvas web editor (TypeScript reducer, Immer, React hooks). Use when profiling reducer dispatch cost, diagnosing slow interactions (drag, resize, color change), writing or running editor benchmarks, instrumenting with PerfObserver, or optimizing the JS-side state management pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

日本語の概要は準備中です。原文の説明を表示しています。

Use when assessing how well a survival model's predicted probabilities agree with observed outcomes by fitting a Cox model and generating bootstrap calibration curves at one or more prediction horizons from a clinical CSV file. NOT for: nomogram construction, univariate Cox screening, ROC analysis, or decision-curve analysis.

日本語の概要は準備中です。原文の説明を表示しています。

When given a project codebase, this skill observes the important functions in the codebase for future action.

日本語の概要は準備中です。原文の説明を表示しています。