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概要と使いどころ
Provide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing.
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Dashboard metric register: metric, source module, formula, period, value, target, trend, owner and last-updated, as CSV, SQL, JSON Schema or Notion on request. Use for KPI dashboards.
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。
360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on request. Use for 360 reviews or peer feedback cycles.
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。
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
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。
Route full software-development architecture work from product intent through design, implementation, testing, release, and operations. Use when the user asks for a complete development architecture, wants to know which Spellbook skills to combine, needs an execution path across PRD/spec/API/data/security/performance/release/SRE, or asks to turn an idea or repo into a production-ready engineering plan.
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 Jacobian's MCP operations for nontrivial mathematical computation, finite search, structural analysis, formal checking, probability, or optimization.
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 Jacobian’s typed operations when exact computation or structural analysis can help solve a mathematical problem.
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 writing or running PowerShell on Windows, especially native programs, quoted paths, escaping, pwsh, Start-Process, file operations, or shell troubleshooting.
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Fix rsky-pds createRecord/putRecord hanging indefinitely with no error logs. Use when: (1) createSession succeeds but createRecord never returns, (2) No error appears in PDS logs despite request hanging for 60+ seconds, (3) PDS health endpoint works but write operations hang, (4) readiness probes intermittently fail on rsky-pds pod. Root cause: PDS_CRAWLERS env var configures crawler notification URLs that are called via reqwest HTTP client WITHOUT any timeout in crawlers.rs. If the crawler URL is unreachable from the cluster, every write hangs forever. Also: setting PDS_CRAWLERS="" produces [""] (one empty string element) which causes a "builder error" instead — must fully unset the env var.
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。
Fix "content disappears after publishing" bugs caused by REST API indexing lag. Use when: (1) User publishes content but it doesn't appear in their feed/profile, (2) REST API returns stale data immediately after write operations, (3) Async indexing backends (ClickHouse, Elasticsearch, etc.) haven't processed new events, (4) Content shows briefly then vanishes on refresh. Applies to any system with separate write path (WebSocket/direct DB) and read path (REST API with async indexing).
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Fix Riverpod "Cannot use Ref or modify other providers inside life-cycles/selectors" crash in @riverpod provider bodies. Use when: (1) Crash during provider disposal with this exact error message, (2) Using keepAlive() with timer-based disposal, (3) Async callbacks (.then, .catchError) try to use ref.read() or ref.invalidateSelf(), (4) Error occurs after ref.onCancel/onResume/onDispose callbacks fire. Solution: wrap ref operations in try-catch or avoid using ref in async callbacks entirely.
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Fix S3 "InvalidArgument" errors when using Google Cloud Storage S3-compatible API with ObjectCannedAcl::PublicRead or x-amz-acl headers. Use when: (1) put_object or upload_blob fails with InvalidArgument on GCS, (2) Using aws-sdk-s3 Rust crate with GCS endpoint (storage.googleapis.com), (3) Bucket has uniform bucket-level access enabled (GCS default since 2023), (4) S3 operations work on MinIO/AWS but fail on GCS. GCS rejects per-object ACLs when uniform bucket-level access is enabled.
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Fix intermittent 500 errors with "Failed to store" in Fastly KV Store during concurrent writes. Use when: (1) Batch operations fail with ~10-20% error rate, (2) Error contains "Failed to store list" or similar KV write failures, (3) Multiple requests updating the same KV key simultaneously, (4) Read-modify-write pattern without locking. The fix is adding a retry loop that re-reads before each write attempt.
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。
Fix flaky Flutter/Dart tests that fail in CI but pass locally due to unhandled Future rejections. Use when: (1) Test passes locally but fails in CI with cryptic errors, (2) Test creates Futures that will throw errors (e.g., network calls to fake URLs), (3) Even with .catchError() at the end, test still fails, (4) Error message shows test name but truncated error like "ROR]" or "[ERROR]". Solution: Avoid creating Futures that will reject; test state machine behavior with synchronous operations instead.
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Fix "setState() or markNeedsBuild() called during build" error triggered from deactivate(). Use when: (1) Error occurs during widget disposal or navigation away, (2) Stack trace shows deactivate -> some notifier -> ValueListenableBuilder._valueChanged, (3) Video/audio player pause() or stop() calls in deactivate() cause the error. The fix is deferring state-modifying operations to addPostFrameCallback.
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 implementing loading states for AI operations.
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。
Generate unit tests with proper mocking for Python (unittest.mock/pytest) or Java (Mockito/JUnit) code. Use when users request test generation, unit tests with mocks, or testing code that has external dependencies like database calls, API requests, file I/O, or network operations. Automatically identifies dependencies to mock and creates executable, maintainable test code.
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Generate integration tests for multiple interacting components in Python. Use when testing interactions between: (1) Multiple services or APIs (REST/GraphQL endpoints, microservices), (2) Database operations with repositories/ORMs (SQLAlchemy, Django ORM), (3) External services (payment gateways, email services, third-party APIs), (4) Message queues and event-driven systems, (5) Full stack workflows (API + database + business logic). Provides test structure templates, fixtures, test data builders, and patterns for pytest-based integration testing.
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Recommend relevant Isabelle/HOL or Coq standard library theories, lemmas, and tactics based on proof goals. Use when: (1) Users need library lemmas for their proof, (2) Proof goals match standard library patterns, (3) Users ask what libraries to import, (4) Specific lemmas are needed for list/set/arithmetic operations, (5) Users are stuck and need to know what library support exists, or (6) Guidance on find_theorems/Search commands is needed. Supports both Isabelle/HOL and Coq standard libraries.
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。
Git expert combining atomic commits, rebase/squash, and history search (blame, bisect, log -S). Use for any git operations requiring structured commit strategies, history rewriting, or code archaeology. Triggers: 'commit', 'rebase', 'squash', 'who wrote', 'when was X added', 'find the commit that'.
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Search code repositories for code related to a given code snippet, ranking results by call chain similarity, textual similarity, and functional similarity. Use when finding related code, locating similar implementations, discovering code dependencies, or identifying code that performs similar operations. Outputs ranked file lists with matching code snippets and relevance scores.
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Analyzes code to identify security-critical time intervals and timing vulnerabilities in authentication, authorization, and time-sensitive security operations. Use this skill when reviewing code for proper timeout enforcement, token expiration, session management, rate limiting, password reset validity, or any time-sensitive security mechanism. Detects missing expiration checks, excessive timeout values, lack of rate limiting, client-side only validation, hardcoded timeouts, and timing attack vulnerabilities. Triggers when users ask to check security timeouts, verify token expiration handling, audit session timeout implementation, review rate limiting, or analyze time-based security controls.
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Execute read-only SQL queries against multiple PostgreSQL databases. Use when: (1) querying PostgreSQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.
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。
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
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。