ai-skillforge

Implementing WCAG accessibility guidelines, semantic HTML5, and screen reader ARIA roles.

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

System prompt for creating custom AI agents with detailed specifications

Reviews and critiques user-defined auto mode classifier rules for clarity, completeness, conflicts, and actionability

Classifies the tail of a background agent transcript as working, blocked, done, or failed and returns concise state JSON

Instructs the built-in background job agent to narrate progress, restate tool results, and emit explicit result, needs input, or failed status signals

Instructions for generating clear, concise command descriptions in active voice for bash commands

System prompt for detecting command prefixes and command injection

Instructions for orchestrating a large, parallelizable change across a codebase.

System prompt for the claude-guide agent that helps users understand and use Claude Code, the Claude Agent SDK and the Claude API effectively.

System prompt for analyzing codebases and creating CLAUDE.md documentation files

Line-by-line diff scan instructions for the /code-review slash command's finder-angle phase

Low-effort /code-review prompt that reads the diff once and returns up to four hunk-visible runtime correctness findings

Recall-biased /code-review verification phase that treats realistic uncertain findings as plausible unless code refutes them

Medium-effort /code-review prompt that favors precision with three finder angles, one-vote verification, and up to eight JSON findings

High-effort /code-review prompt that favors recall with three finder angles, recall-biased verification, and up to ten JSON findings

Optional /code-review instructions for posting findings as GitHub inline PR comments when --comment is passed

Optional /code-review instructions for applying findings to the working tree when --fix is passed

Generates a title for the coding session.

System prompt for creating detailed conversation summaries

Agent for determining which memory files to attach for the main agent.

Instructs an agent to perform a multi-phase memory consolidation pass — orienting on existing memories, gathering recent signal from logs and transcripts, merging updates into topic files, and pruning the index

Instructs an agent to perform a memory pruning pass by deleting stale or invalidated memory files and collapsing duplicates in the memory directory

System prompt for the Explore subagent

System prompt for the general-purpose subagent that searches, analyzes, and edits code across a codebase while reporting findings concisely to the caller

System prompt for evaluating hook conditions, specifically stop conditions, in Claude Code

Interactive interview script that walks users through configuring a Managed Agent from scratch — selecting tools, skills, files, environment settings — and emits setup and runtime code

Subagent that reads persistent memory files and returns a JSON synthesis of only the information relevant to each query, with cited filenames

Adds instructions for sharing the draft ONBOARDING.md before review, then updating the same ShareOnboardingGuide link after the user answers the review questions

Co-authors a team onboarding guide (ONBOARDING.md) for new Claude Code users by analyzing the creator's usage data, classifying session types, and iterating on the draft collaboratively

Enhanced prompt for the Plan subagent

V2 instructions for generating prompt suggestions for Claude Code

Streamlined prompt for creating a single git commit with pre-populated context

Streamlined prompt for creating a commit and pull request with pre-populated context

Agent prompt used for summarizing recent messages.

Prompt used by /rename (no args) to auto-generate a kebab-case session name from conversation context

System prompt for reviewing GitHub pull requests with code analysis

Guides the user through scheduling, updating, listing, or running remote Claude Code agents on cron triggers via the Anthropic cloud API

Comprehensive security review prompt for analyzing code changes with focus on exploitable vulnerabilities