'dispatch' 검색 결과

Retire a FastGPT workflow node while preserving existing workflows. The skill guides changes to templates, execution handlers, and interface references so the node disappears from creation menus but still loads, runs, and displays a replacement notice.

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• Retiring a FastGPT workflow node
• Hiding a node from creation menus
• Preserving existing workflows during node retirement

Publish a Mastra preview package from a pull request or branch. Check the exact commit, confirm publication, monitor the release workflow, and report verified npm tags with a ready-to-copy installation command.

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• Publishing a preview package from a pull request
• Sharing a branch build under a custom npm tag
• Checking publication results and installation commands

Review Pascal pull requests or branches against documented architecture rules. Check package responsibilities, node extension patterns, state management, and rendering subscriptions to identify misplaced code, compatibility breaks, and changes that could cause excessive redraws.

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• Reviewing a Pascal pull request for architecture violations
• Auditing package responsibilities in a branch
• Checking new node definitions and scene compatibility

Continuously monitor automatic end-to-end tests on NemoClaw main, group failures by root cause, and coordinate fixes and peer reviews through GitHub. Track ownership and merge readiness while checking whether later runs confirm each repair.

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• Continuously monitor automatic test failures on main
• Coordinate repair ownership across maintainers
• Review peer fixes and assess merge readiness

Run NemoClaw live end-to-end tests, which check complete workflows, or inspect existing release evidence. Routes requests to local or trusted GitHub workflows and reports the tested commit, results, workflow link, and relevant job links.

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• Run end-to-end tests for the latest pull request commit
• Run end-to-end tests for the current main commit
• Test working-tree source in a requested local run

Investigate failing or flaky NemoClaw end-to-end tests, which check complete workflows. Trace each assertion through its inputs and implementation, including cleanup and dependent jobs, and produce an evidence ledger to guide authorized repairs and reruns.

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• Investigate a failing end-to-end test
• Audit assertions that execution has not reached
• Review cleanup and dependent job requirements

Explore relationships between functions and files using a prebuilt code graph, a map of code dependencies. Trace bugs, inspect callers and execution paths, and assess the impact of refactoring or proposed changes.

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• Explore callers and dependencies in unfamiliar code
• Trace a bug across multiple files
• Assess the impact of renaming or removing code

Roll back Kortix production to a previously released version using existing builds. Covers frontend and backend rollback, database compatibility checks, prevention of unintended frontend rebuilds, and returning to the latest version through a later release.

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• Restore a previous release after a production incident
• Check database compatibility before a rollback
• Prevent frontend rebuilds from overwriting a rollback

Guide a Kortix production release from choosing a version and writing release notes to testing on staging, merging the release pull request, and verifying production. Diagnose blocked promotions and direct fixes back to the dev branch.

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• Choose a version number for a Kortix release
• Promote dev through staging to production
• Investigate a blocked release

Debug json-render interfaces with an inspector panel that shows screen specifications, editable runtime state, action history, and streamed updates. Select a rendered page element to locate its definition and investigate display or interaction problems.

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• Investigate missing or incorrectly displayed elements
• Inspect and edit application state at runtime
• Review action results and errors

Improve MNN's Vulkan backend by separating CPU scheduling bottlenecks from GPU computation costs. It guides operator and shader changes, new feature integration with compatibility fallbacks, and device testing to verify both correctness and end-to-end performance.

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• Finding CPU or GPU bottlenecks in Vulkan inference
• Optimizing a specific operator or shader
• Integrating cooperative matrix or subgroup features

Find why MNN CPU inference is slow by examining threads, scheduling, memory layout, and the processor instruction path actually used. Operator-level measurements and comparisons with other inference frameworks help identify which layer needs improvement across ARM, x86_64, and RISC-V.

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• Investigate slow CPU operators or LLM inference
• Diagnose thread count and memory usage anomalies
• Locate the cause of a performance regression

Test Omnigent’s GitHub Copilot SDK integration on a live local server. Build test agents, run real conversations, and inspect authentication, model selection, tool connections, policy enforcement, and leftover processes to investigate integration failures.

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• Checking Copilot authentication with a real conversation
• Testing model selection and tool connections
• Verifying sub-agent dispatch and policy enforcement

Check project progress, summarize recent work and remaining tasks, and move to the next GSD workflow step. It also supports automatic step chaining and routes plain-language requests to suitable GSD commands.

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• Reviewing project progress and remaining work
• Advancing automatically to the next workflow step
• Finding the right GSD command for a request

Run several small development tasks as one batch, from planning through execution and merging. Control concurrency, add research or validation, and resume eligible unfinished items from a saved batch.

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• Processing several small development tasks in one batch
• Loading a task list from a file
• Adding research and validation to batch tasks

Deploy ClawHub to production or publish a stable CLI release to npm. Check prerequisites for the exact commit, run the release workflow, and verify the deployed behavior or published version with traceable release evidence.

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• Deploy ClawHub to production
• Publish a stable ClawHub CLI version
• Check release prerequisites for a specific commit

Record operations across multiple AI agents and connect events into a traceable history. Search records by tracking ID, time window, or responsible component to support audits and investigations, with local storage available when the vector database fails.

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• Trace task dispatch and execution across agents
• Search audit records by time or responsible component
• Keep recording events during vector database failures

Investigate independent bugs or test failures concurrently by assigning each problem area to a separate agent. Define clear boundaries and expected reports, then review the fixes, check for conflicts, and run the full test suite before integration.

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• Investigate unrelated test failures in parallel
• Split independent subsystem bugs among agents
• Write focused assignments with clear boundaries

Helps decide whether to handle a task directly, create a subagent, or route it to an agent already familiar with the work. The choice depends on required background knowledge and whether plausible but incorrect results can be checked.

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• Choosing who should handle a task
• Delegating self-contained research with verifiable sources
• Routing context-heavy reviews to an informed agent

Add a complete dashboard panel in plain TypeScript, from server routes and data services to the visible component and registration. The workflow checks existing routing patterns and includes request failure handling, caching, and saved panel state.

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• Adding a dashboard panel across server and browser code
• Connecting routes to Express or http.createServer
• Adding caching and cooldowns after repeated failures

Add a dashboard or admin panel across the server and interface. This skill follows existing project patterns to build API routes, service logic, components, registration, and styles, then connects request handlers so the new endpoint is reachable.

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• Adding a new dashboard panel
• Building an admin feature across the server and interface
• Connecting a new API handler to server routing

Organize ATAC-seq, ChIP-seq, CUT&RUN, or CUT&Tag inputs and route them to suitable analysis workflows. Covers initial quality checks and preparation for finding peaks, genomic regions with concentrated signal, and comparing them across samples.

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• Choose an analysis workflow for an epigenomics assay
• Check FASTQ inputs and sample-sheet readiness
• Organize control and biological replicate information

Plan DNA variant detection workflows by identifying the assay and sample model, then routing to germline, cancer somatic, or molecular-barcode panel skills. It also supports focused local BAM/CRAM checks with variant files, depth summaries, and optional filters.

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• Choosing a workflow for WGS, WES, or DNA panels
• Routing inherited, cancer, and molecular-barcode analyses
• Checking reference genomes and required input files

Routes bulk RNA-seq requests to workflows for generating expression counts and checking quality, or comparing gene expression between groups. Checks input data, sample information, and analysis requirements before directing the next step.

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• Generate expression counts from FASTQ files
• Compare gene expression between sample groups
• Plan quality checks and statistical analysis together