「failures」の検索結果

Use the HyperFrames CLI development loop: init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, present, beats, keyframes, single or batch render, publish, cloud, cloudrun, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, auth, tts, and remove-background. Also use when diagnosing build or render failures. validate, inspect, and layout are deprecated aliases; use check. Covers local, HeyGen-hosted cloud, AWS Lambda, and Google Cloud Run rendering.

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Qualify Windows desktop installers in GitHub Actions and promote verified Windows/macOS assets from one frozen SHA. Use for cloud packaging, installer failures, or GitHub Release publication; not local packaging or macOS qualification.

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Read-only first troubleshooting workflow for Python project deployments, including systemd startup failures, dependency issues, encoding problems, permissions, proxy setup, and readiness gates.

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The case-law chronicle of this repo's major failures — symptom, root cause, evidence, status, and the rule each battle minted — so nobody re-fights a settled battle or re-proposes a rejected fix. Use when a bug/incident looks familiar ("didn't this happen before?"), when you're about to propose an approach that may have been tried and rejected (e.g. shipping a migration from a package), when someone asks "why does rule X exist" / "why is done-by-lgtm a thing" / "what was incident 988", or when a bug-archaeology run hits the shallow-clone wall and needs the pre-June-2026 history. Trigger phrases: "has this broken before", "why can't packages ship migrations", "why did graduation fail", "why is the green-build lesson a rule", "what did we learn from incident NN". (For a live "build is green but the app is broken" symptom, start at crouton-diagnostics-index. NB keep this description free of any space-then-hash sequence — an unquoted YAML scalar treats space-hash as a comment start and silently truncates.)

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Use for bugs, test failures, broken behavior, or unexpected results; enforces 4-phase root-cause debugging before fixes.

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Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.

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Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.

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。

Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code spe...

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Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.

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Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.

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Detect and prevent API enumeration attacks including BOLA and IDOR exploitation by monitoring sequential identifier access patterns and authorization failures.

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Test or debug application use cases through their public Action API, including persistence, authorization failures, atomic rollback, and post-commit reactions. Use when adding regression tests for business operations.

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Disciplined diagnosis loop for hard bugs, regressions, flaky failures, and performance problems with unclear cause. Use for root-cause debugging after a concrete symptom exists; do not use for routine implementation or speculative cleanup.

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Correlate events across multiple log files from different sources, systems, or time periods. Build unified timelines, identify causal relationships between events, and highlight anomalies that span multiple data sources. Supports timezone normalization and gap detection. Use when analyzing logs from multiple systems (frontend, backend, database, infrastructure), investigating distributed system failures, or building event timelines across services. Triggers: "correlate these logs", "build timeline from multiple logs", "cross-system analysis", "find related events across logs", "multi-source log analysis", "distributed trace analysis"

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Expert guidance for Salesforce Flow implementation from design through deployment. Use this skill when building Screen Flows, Record-Triggered Flows, Schedule-Triggered Flows, or Autolaunched Flows. Covers Flow design patterns, metadata XML generation, variable/element reference validation, governor limit optimization, and sf CLI deployment. Critical for preventing reference errors (undeclared variables, invalid element references) and deployment failures. Use when creating new Flows, debugging Flow errors, optimizing Flow performance, or deploying Flows to production.

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This skill should be used when creating bug/defect reports during system testing. Use this skill when you discover a bug, need to document test failures, or want to create comprehensive bug tickets with proper reproduction steps, severity assessment, and environment details. Guides users through interactive questioning to gather all necessary information and generates professional bug ticket documents in Markdown format. Supports Japanese (default) and English.

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Load for Blazor BFF server work involving YARP proxy routes, cookie sessions, access-token forwarding/refresh, downstream API calls, BFF handlers, or browser-to-API auth failures; not for client component rendering or API JWT validation alone.

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Load for cross-layer refactors, record/class or value-object migrations, new services/interfaces/repositories, project references, dependency-direction failures, or deciding whether code belongs in Domain, Application, Persistence/Infrastructure, API, or Blazor; not for a local edit wholly inside an established layer pattern.

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Scientific debugging for bugs, flakes, failures, and performance regressions. Use when something is broken, throwing, failing, slow, nondeterministic, or when the user says diagnose/debug this. Builds a trusted repro loop, tests falsifiable hypotheses, installs a regression oracle, and routes durable findings back into ln-* planning.

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Baut aus einem Chatverlauf oder aus bestehenden Automatisierungs-Prompts (z. B. eines anderen Agenten-Systems) eine selbstlaufende, user-neutrale Workflow-Automatisierung: einen wiederkehrenden Prompt bzw. Automations-Skill für Cron/Schedule/Loop. Alias: automations-extractor. Nutze diesen Skill bei „mach daraus eine Automatisierung", „das soll regelmäßig/nächtlich laufen", „extrahiere Workflows aus diesen Chatverläufen/Automationen", „Automation aus dieser Session bauen", oder bei `/workflow-extract`. Ergänzt fehlende Automations-Bausteine (Rotations-Auswahl, Check-Registry, Idempotenz, Log-Hygiene, Freigabe-Gate, Eskalations-Handoff, Monitor-Meldedisziplin) systematisch. Enthält auch den Fleet-Audit-Modus: bestehende Automations-Flotten auf Silent-Failures, Redundanz, Drift und Lücken prüfen („prüfe meine Automatisierungen/Scheduled Tasks/Cron-Jobs"). Soll stattdessen ein abrufbarer Skill (Fähigkeit auf Zuruf) entstehen, den Schwester-Skill skill-extractor nutzen.

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Reads an accounts payable exception list (mismatches, possible duplicates, missing or exhausted purchase orders, missing receipts, vendor or bank detail differences) with any invoice, purchase order and receipt data supplied, and returns a DRAFT action sheet: per line, the exception as stated, the facts as read, the difference where both sides exist, one proposed next action for the accounts payable clerk to perform, who or what it needs, and a draft query, with UNKNOWN wherever the data is silent. Use when the user asks to "review these invoice exceptions", "work through the AP exception queue", "what should I do with these blocked invoices", "propose next steps for the three-way match failures" or "sort out the duplicate and missing PO invoices". Do not use for a purchase order log screened for anomalies, use purchase-order-anomaly-review instead; for an expense claim against policy, use expense-policy-precheck. Drafts for human review; never approves, authorises or signs off.

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Write an evergreen teaching longform for non-technical readers built from your own real material (systems you run, dated failures, numbers), structured as a stitched lesson that can live as a blog post, a GitHub guide hub and a newsletter issue. Use when turning lived engineering experience into a durable how-to. Triggers: /guide, make a guide, build a lesson, evergreen guide.

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Health-check the second brain so failures are not silent: is the local search server alive, is the RAG index fresh, is the session-memory ledger filling, did the nightly distillation run. Read-only, with a green/red verdict per component. Triggers: "/brain", "/memory", "is the reindex alive".

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Diagnose and restore the Claude Desktop app when it will not start, crashes, or runs with no visible window. Use for Windows MSIX launch failures, 'Not main instance', stale AppX job containers, NeedsRemediation or 0x80070020 errors. Separates Desktop from the CLI, reads fresh logs, picks a narrow fix and proves a visible working window. Triggers: /claude-repair, Claude Desktop won't open, Claude app crashed.

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。