Results for “process”

Use when converting FASTA sequence records into XML for downstream EDirect or XML-based sequence processing.

Use when converting GFF or GFF3 feature annotations into structured XML for downstream EDirect-style processing.

Use when converting INI-style configuration files into XML for downstream EDirect or XML-based processing.

Enforce CLAUDE.md framework compliance. Re-reads rules, displays applicable rules, processes request with full compliance.

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Detect processed data produced with old/buggy KINTSUGI code via timestamp forensics

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Simulator.Company graph structure specialist. Use when the user wants to build, edit, analyze, inspect, or ask questions about business process graphs, flowcharts, algorithms, actors (nodes), links (edges), or layers (visual views) in Simulator.Company. Trigger on any of these intents: — Creating: "create graph", "build flowchart", "new diagram", "add actor", "add block to graph", "create algorithm", "draw flowchart", "digital twin", "create process on graph", "build process diagram", "FlowchartBlock", "startStop", "predefinedProcess". — Editing: "edit graph", "update actor", "rename node", "change color", "move actor", "add step to flowchart", "modify diagram", "restructure process", "add edge", "remove link", "reorder steps", "update layer". — Syncing: "push graph", "pull graph", "sync graph", "push changes", "apply edits to layer". — Querying / analysis: "what actors are on this layer", "show me the graph", "who is connected to", "find actor", "list nodes", "describe the process", "analyze the flowchart",

Process-based discrete-event simulation in Python with SimPy — processes, queues, shared resources, and time-based events. Use when simulating systems where entities contend for shared resources over time, such as manufacturing systems, service operations, network traffic, or logistics. Part of the AlterLab Academic Skills suite.

Be the COO with process design, organizational scaling, cross-functional execution, and operational excellence.

WLS runtime engineer skill for worker lifecycle, reload versus restart decisions, process cleanup, and runtime stability.

Be the COO with process design, organizational scaling, cross-functional execution, and operational excellence.

Enhance and standardize a property listing photo with auto-contrast, sharpening, and consistent sizing.

Use when converting NCBI-style ASN.1 payloads into XML for downstream EDirect or XML-based processing.

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Process and analyze mass spectrometry data: import spectra from MGF, mzML, MSP, and JSON formats; apply 40+ filters for metadata harmonization and peak cleaning; compute spectral similarities (cosine, modified cosine) for compound identification; build reproducible processing pipelines.

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.

Use when masking columns or coordinate ranges in multiple-sequence alignments before downstream HMMER or alignment-processing steps.

Design and implement real-time audio processing chains using Audio Toolbox streaming objects. Use when building frame-based audio processing loops, multiband filters, dynamic range control, parametric EQ, level metering, loudness metering, SPL metering, octave-band analysis, sample rate conversion, frequency-domain filtering (long impulse responses, custom filter banks), or audio chains in Simulink. Covers visualization (visualize method), interactive tuning (parameterTuner), MIDI control, and Audio Toolbox Simulink blocks. Use when the user says "real-time audio", "streaming audio", "audio filter", "compressor", "equalizer", "level meter", "loudness meter", "SPL meter", "octave bands", "crossover filter", "audio chain", "MIDI control", "convolution reverb", "impulse response streaming", "frequency-domain filter", or asks to process audio frame-by-frame.

Detect data staging activity before exfiltration by monitoring for archive creation with 7-Zip/RAR, unusual temp folder access, large file consolidation, and staging directory patterns via EDR and process telemetry.

Framework de simulação de eventos discretos baseado em processos em Python. Use essa habilidade ao construir simulações de sistemas com processos, filas, recursos e eventos baseados em tempo, como sistemas de manufatura, operações de serviço, tráfego de rede, logística, ou qualquer sistema onde entidades interagem com recursos compartilhados ao longo do tempo.

Define roles and responsibilities using RACI matrix. Use for process improvement, organizational design, project management, and change initiatives.

Conduct time studies for process efficiency analysis. TRIGGERS - Use when user needs help with time-study related tasks.

Create home buyer guides with process steps. TRIGGERS - Use when user needs help with buyer-guide related tasks.

Conduct time studies for process efficiency analysis. TRIGGERS - Use when user needs help with time-study related tasks.

Create home buyer guides with process steps. TRIGGERS - Use when user needs help with buyer-guide related tasks.

Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.

GPU-safe parallel processing patterns for KINTSUGI to prevent OOM crashes and ensure Jupyter-compatible progress output

GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation

GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation

GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation

Author a new processkit skill end-to-end — use-case interview, frontmatter, body sections, Gotchas, and trigger-phrase generation.

Plan and execute hot-to-cold processkit context archiving while keeping archived entity metadata queryable through the shared index.

GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation