All Skills

Evaluates execution transcripts and output files against a list of expectations, assigning pass/fail verdicts with cited evidence and critiquing the assertions themselves.

Use the official Anthropic C# SDK to send messages, stream responses, and define tools with JSON schema.

Guides incremental code improvements, error-proofing through types and validation, and standardization for higher quality software.

Analyze single-cell RNA-seq data with Scanpy, covering quality control, normalization, dimensionality reduction, clustering, marker gene identification, and visualization.

Transforms rough sketches or text descriptions into photorealistic 3D renders using Vizcom's AI rendering modes and prompt weighting.

Performs astronomical data analysis with astropy: coordinate transformations, unit conversions, FITS file handling, cosmological calculations, time systems, tables, and WCS.

Designs secure, high-performance GraphQL APIs by applying schema design, DataLoader batching, query depth limiting, and resolver-level authorization patterns.

Write idiomatic, high-performance PHP code using generators, iterators, SPL data structures, and modern OOP features.

Manages environment variables securely by masking sensitive values, validating schemas, and injecting secrets into commands without exposing them.

Enforces a machine-readable behavioral contract for multi-agent development, mandating specification-first workflows, git checkpoints, context lineage, and quality gates.

Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling and parallel execution patterns.

Sets up the Manifest observability plugin for AI agents, including installing the plugin, configuring the API key and endpoint, and verifying the gateway connection.

Guides engine selection and platform-specific principles for PC and console game development, covering Steam integration, controller support, and performance optimization.

Compresses responses to terse, fragment-style output while preserving code, errors, and technical terms, activating on brief-mode requests or trigger tokens.

Saves all project context to _context/ files so future sessions can resume without re-reading the full SRS.

Reviews all pipeline artifacts from a virtual software team and produces quality, compliance, and sign-off reports with an advisory release verdict.

Generates a candid improvement report for a software requirements specification, covering deferred features, technical risks, FR refinements, NFR gaps, validation warnings, and process recommendations.

Guides a structured software requirements specification workflow from topic intake through brainstorming, spec writing, planning, review, SRS generation, validation, and improvement reporting.

Runs a structured, multi-round brainstorm to capture actors, features, scope, constraints, and business rules for a project before writing a spec.

Provides structured techniques for breaking through stuck points in problem-solving, including collision-zone thinking, inversion, pattern recognition, and simplification.

Identify the type of problem you're stuck on and dispatch to the appropriate problem-solving technique.

Analyzes runtime history to identify failures and inefficiencies, then autonomously writes improvements using a protocol-constrained evolution engine. Communicates with EvoMap Hub via a local Proxy mailbox.

Backtests quantitative trading strategies across 9 engines and 25 data sources, analyzes trade journals, and runs multi-agent research teams.

Builds, refines, tests, or validates a CLI-Anything harness for a GUI application or source repository, producing a stateful Click CLI with JSON output and REPL mode.

Transforms chaotic notes, voice dumps, and meeting transcripts into a structured, interlinked knowledge base inside Obsidian by extracting entities, generating wikilinks, and surfacing forgotten context.

Generates a personalised nutrition report from consumer genetic data (23andMe, AncestryDNA, VCF) by interrogating nutritionally-relevant SNPs and producing actionable dietary guidance, all computed locally.

Computes phylogenetic distance matrices and trees from genomic VCF or FASTA data using the fastreeR hybrid Java/Python toolkit.

Builds, refines, tests, or validates a CLI-Anything harness for a GUI application or source repository, producing a Python-based Click CLI with REPL mode and JSON output.

Provides a structured template for creating new agent skills, including workflow steps, input/output schemas, and quality gates.

Performs HLA allele genotyping from WGS/WES VCF data, producing a structured markdown report and machine-readable JSON results.

Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

Detect promoter regions in DNA sequences by calling the Genomic Intelligence G0 transformer (GENA-LM BERT Large) hosted API. Returns per-window promoter probabilities and called regions as a report and JSON, from a single FASTA input.

Scores genetic compatibility between all male-female pairings in a Genomebook generation, ranking optimal mating pairs based on heterozygosity, trait complementarity, and disease risk.

Runs NGS read QC, alignment, and BAM processing, wrapping FastQC, BWA/Bowtie2/Minimap2, SAMtools, and MultiQC for automated read-to-BAM workflows.

Routes requests to Aegis skills based on intent, loading relevant skills for debugging, planning, and goal framing while keeping fast-path responses lightweight.