Results for “g2”

Generates and edits images using GPT Image 2 across three modes: direct generation via OpenAI-compatible API, prompt engineering for host-native image tools, or pure prompt advisory. Includes 80+ structured templates for posters, UI mockups, product visuals, maps, slides, and more.

Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits.

Use when a GFF file needs bcftools/csq-compatible gene and transcript attributes before consequence annotation.

Use when the user asks Codex to directly generate images with gpt-image-2 using inherited OpenAI/Codex-compatible environment credentials or local GPT_IMAGE2_* overrides, including text-to-image, reference-image guided generation, ratios, resolution, quality, variants, and saved local image files; run the bundled Node CLI and keep URL/sk configuration private.

Use when converting GenBank flatfiles into XML for downstream EDirect or XML-based sequence annotation workflows.

Recommends weight‑losing and weight‑neutral medications as first‑ and second‑line agents for managing overweight/obese patients with type 2 diabetes. Triggers include when a clinician asks, 'Which diabetes medications will not worsen weight in this obese patient?' or 'Should I avoid sulfonylureas in this patient with T2DM and obesity due to weight gain risk?'

Reverse engineer malware binaries using NSA's Ghidra disassembler and decompiler to understand internal logic, cryptographic routines, C2 protocols, and evasion techniques at the assembly and pseudo-C level.

Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.

Architect C2 redirectors with nginx and Apache, derive filter rules from malleable profiles, and apply OPSEC controls for resilient red-team infrastructure.

Computes the R2Score metric using torchmetrics, handling single and multi-output predictions with options for adjusted and variance-weighted scores.

Use when working with GenBank format files and need to create reference indexers for sequence data retrieval or processing within the Entrez Direct toolkit.

Resolves legacy references to the e2e-runner capability by routing to the current runtime implementation, agent, or plugin skill.

Use when converting BLASTN mRNA alignment XML into segmented interval reports and strand-overlap summaries in EDirect pipelines.

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

Use when converting GenBank format (.gbf) files to FASTA format (.fsa) as part of sequence data preprocessing

Self-tuning question sensitivity + developer psychographic for gstack (v1: observational). Review which AskUserQuestion prompts fire across gstack skills, set per-question preferences (never-ask / always-ask / ask-only-for-one-way), inspect the dual-track profile (what you declared vs what your behavior suggests), and enable/disable question tuning. Conversational interface — no CLI syntax required. Use when asked to "tune questions", "stop asking me that", "too many questions", "show my profile", "what questions have I been asked", "show my vibe", "developer profile", or "turn off question tuning". (gstack) Proactively suggest when the user says the same gstack question has come up before, or when they explicitly override a recommendation for the Nth time.