Shape agent capabilities into your workflow.

Quantitative Researcher supports audit-and-reproduce, analyze, critique, and consult modes for research data and papers. It inspects coding and assumptions, flags common errors such as suppression or causal overreach, and performs calculations with Python statistics libraries before writing APA-structured methods, results, and limitations. The skill depends on an execution-capable environment; it is not designed to replace computation with model reasoning.

mj-agent expands one Midjourney prompt into ten raw variations or a single brace permutation that can be pasted into Discord for batch generation. It can also split oversized commands and compare prompt runs across model versions. The number of permutation jobs depends on the Midjourney plan, permutations require Fast mode, and the skill prepares prompts rather than creating images itself.

Journalism Skill helps journalists and researchers organize investigations around retrievable sources, careful causal language, and explicit verification. Its guidance covers public-records work, interview planning, data review, sensitive allegations, and right-of-reply handling, with reusable templates and examples for both agentic and web-chat settings. It structures the work but cannot turn unsupported claims into verified facts.

curiosity-merge is a separate sharing and federation layer for curiosity-engine wikis. It exports self-contained subgraphs, discovers and accepts possible cross-page bridges, merges by stable IRI with provenance and collision handling, and reverses merges through manifests. Missing source bytes can be marked and later rehydrated with the receiver's own access.

This skill gives AI coding agents a worktree-based workflow for parallel feature branches. It initializes projects, uses Portless named local URLs, isolates local state, and supports safe resume, browser review, test-data cleanup, and branch finishing. It can also check whether independent local databases are available before parallel stateful work.

korean-privacy-terms is a Claude skill that uses a short interview about service type, users, regions, and operator location to choose a jurisdictional path. It produces Korean, English, or bilingual privacy policies and terms with templates for Korea's PIPA and the EU GDPR. The project clearly presents the output as a draft for legal review.

This repository currently packages a chemistry-toolkit skill for Claude Code and the Claude Agent SDK. It can render molecular structures with RDKit and 3Dmol.js, typeset equations with KaTeX and mhchem, balance and verify reactions, embed editable structure sketchers, and produce step-by-step problem layouts. The repo also documents symlink installation and .skill bundling.

harness-engineering-skill bootstraps a project harness for reliable LLM-agent work and maintains it across sessions. Its four modes cover project setup, handoff, promoting repeated mistakes into stronger guardrails, and independent evaluation. Deterministic shell scripts handle repeatable operations, while Markdown modes leave judgment to the agent; project artifacts record configuration, progress, features, lessons, and evaluation reports.

This Claude skill guides short- and long-form novel creation through 13 Snowflake Method steps, from theme and one-sentence premise to characters, layered outlines, scene planning, chapter generation, and prose conversion. Its final pass scans for technical wording, awkward logic, and stiff tone, then applies five style adjustments and shows the original alongside the revised text.

architecture-solver turns workload requirements into infrastructure designs through seven dimensions: TIME, SPACE, WORK, STATE, FAILURE, COST, and TRUST. It applies formulas such as Little's Law, Erlang-C, USL, availability calculus, and cost optimization, then matches technologies and proven patterns. The skill can produce sized and costed recommendations, compile them to Terraform, CDK, or Pulumi, and define load, resilience, security, and cost checks.

This Databricks skill turns an EHR-derived Unity Catalog bronze layer into an OMOP CDM v5.4 Asset Bundle project. It generates per-table YAML transform configurations through a conversational flow, validates them with Pydantic, scaffolds jobs and data-processing files, and runs five OHDSI checks for schema, primary keys, concept foreign keys, domain conformance, and NOT NULL completeness. It validates 20 tables and auto-builds templates for 14.

servicetitan-forms-skill helps Claude build, fix, and refactor ServiceTitan Form 2.0 JSON. It covers the envelope and IsForm20 flag, conditional visibility and micro-rule splitting, common import validation failures, fieldType pitfalls, preview errors, and plain-English-to-JSON form generation. The repository says its patterns were checked against live tenant exports and that the skill ships only Markdown, without scripts or network calls.

say-less changes Claude's framing for designers: lead with the user-facing behavior and design implication, keep the English technical term as an anchor, and explain the mechanism only as needed. It covers frontend web, mobile, and AI/LLM/agent topics through on-demand references, adapts prose to the user's working language, and preserves terms such as hydration, RAG, and MCP.

Campfire Lens is a Claude skill for Indian equity investors. It maps a theme through seven layers—Spark, Winners, Enablers, Disrupted, India Angle, Your Bet, and The Gap—then finds listed Indian proxies and relates them to a live Zerodha portfolio. It produces a multi-theme heatmap, concentration and gap warnings, cross-sector exposure, thesis-drift signals, and conviction cards; without Kite MCP it remains usable in research-only mode.

sq-ai-design-thinking is an interactive consultant skill for Claude Code, Claude Desktop, and other LLM environments. It guides department leads, team leads, PMs, and founders through 27 frameworks across five stages, from opportunity discovery and user understanding to problem framing, experiments, presentation, and roadmap. It recommends framework combinations from the user's answers and saves workshop results as Markdown, CSV, PDF, or TXT in the current workspace.

macleanse performs a CleanMyMac-style scan, classifies findings by risk, proposes cleanup actions, and reports what changed. Destructive scripts default to dry-run, sizes are shown before deletion, and denylisted locations such as Photos, iCloud Drive, Keychains, and backups are protected. It is macOS-only and requires explicit confirmation before applying cleanup to user data.

WeChat MiniApp Factory turns an idea into a native WeChat Mini Program starter with declared pages, replaceable demo content, optional CloudBase structure, validation tests, and handoff documents. A companion reviewer checks category fit, privacy, content safety, virtual transactions, and common rejection risks before upload. The generated project is intentionally simple to adapt, and the review cannot guarantee approval.

home-router-tune discovers router settings and nearby Wi-Fi conditions, builds a risk-ranked plan, applies only approved changes, and writes a report with history for later drift checks. Execution stops at the first verification mismatch and includes a rollback recipe plus a configuration backup when available. It depends on dev-browser and ships detailed playbooks for several Brazilian ISP gateways, with a generic fallback elsewhere.