Shape agent capabilities into your workflow.

Provide the target company, role, job description, and your resume to create a focused software-engineering interview kit. The skill produces five linked Markdown guides covering a day-by-day plan, prioritized DSA practice, resume-based behavioral prompts, questions for each interview round, and company stack topics. It also includes short-on-time checklists so candidates can use the material immediately instead of reading a generic handbook.

Turn on research-mode when a task needs stricter evidence handling in Claude Code. It pushes the assistant to stay close to supplied material, cite major claims, separate fact from interpretation, and avoid filling gaps with guesses. The mode is intended for fact checks, comparisons, policy reviews, and source-based summaries, and can be switched off when normal conversational work is more appropriate.

Use this agent skill to audit and redesign contributor programs for open-source communities, DevRel teams, and developer ecosystems. It helps map visible and invisible labor, test whether recognition is proportional, identify concentrated workloads and burnout signals, and show contributors their impact. The framework also connects community activity to outcomes leadership cares about, so recognition and sustainability are treated as one system.

claude-insights turns recent Obsidian entries into a structured weekly or monthly reflection. It summarizes emotional-floor trends, habits, recurring themes, commitments versus reality, wins, coach-style pushback, gentler exploratory observations, and optional advisor comments. Any journal format can be analyzed, although entries and indexes created by the companion daily-journal plugin provide richer and faster results.

Use /ick when Claude’s output is technically correct but stylistically wrong, such as over-commented code, corporate filler, needless abstraction, hedging, or sycophantic openings. The skill identifies the specific problem, rewrites the offending output, and saves the preference to memory. With no pasted snippet, it inspects the most recent response and fixes the most likely source of discomfort.

deliverable puts an idea through three adversarial perspectives—a cynical customer, a brutal product manager, and a future maintainer—then writes a one-page verdict with fatal assumptions, a narrower wedge, and evidence to gather next. Each project keeps its own JSONL history, so related ideas can be challenged with previous lessons. Ideas that survive can continue into a charter, BRD, SRS, and stakeholder-interview workflow.

Use this Claude Code plugin with its WXT factory to scaffold or import an extension, prepare listing copy and screenshots, configure Chrome Web Store credentials, and package or submit the release. Its validators catch store-specific issues before shipping. The workflow automates release preparation, but it does not build the extension’s actual product features for you.

Convert CSV, JSON, NDJSON, YAML, SQL, Markdown, TOML, and related formats through Claude Code or the bundled Python scripts. It can flatten nested records, stream large files, generate SQL statements, and infer column types or schemas. The core tools use Python 3.8 standard-library modules, with PyYAML needed only for YAML support.

Query Japan’s official e-Gov Law API from Claude Code and other skill-compatible agents. The skill finds laws by name, retrieves specific articles, searches full text, and looks up amendment history or the text in force on a past date. It needs no API key, but it relies on bash and curl and does not cover treaties, ministry notices, guidance, or local ordinances.

Use this skill as an implementation playbook for a single-file CRM, a drag-and-drop automation editor, trigger-condition-action workflows, a session gate, and an animated brand landing page. It includes architecture references and starter files derived from a working project. The prescribed stack is fairly specific, and the user experience is tuned for Latin American clients with Spanish interface copy.

Activate a Spanish brevity mode that removes greetings, hedging, redundant pronouns, copulas, and long connective phrases while preserving technical terms and actionable fixes. It is designed to reduce explanatory output substantially without changing the underlying solution. Code, quoted errors, commit messages, pull requests, and formal technical documentation remain in their normal form.

Complete an eight-question conversational diagnostic to identify where your contextual judgment, trust, lived pattern recognition, ambiguity handling, or human presence stands out. The skill produces a specific profile, practical visibility changes, audience-ready positioning language, and a professional post lead. You can keep logging experiences and periodically refresh the profile as your evidence and context evolve.

Floor Report Skills serves industrial maintenance and reliability leaders. Its current plant-pulse-report skill converts maintenance KPIs into an executive summary, trend-backed KPI cards, three priority actions, and a PDF-ready report. The repository also includes a 90-day maintenance improvement field guide, with its benchmarks and recommendations tied to named maintenance standards and reference works.

Give it a rough idea, broken instruction, or underperforming prompt. The skill classifies the request, diagnoses missing context or structure, selects relevant prompting techniques, and returns a ready-to-use rewrite with explicit output requirements and guardrails where needed. It also explains what changed and which techniques were applied or intentionally skipped, so the result doubles as a learning aid.

Search an indexed set of 80 UI-relevant Nano Banana prompts, then adapt a selected pattern for Gemini image generation, Google Stitch screens and design systems, or coded React, Tailwind, and SwiftUI work. The skill extracts composition, palette, and typography details instead of blindly copying image language. Attribution must be preserved, and the included English collection is only a curated subset of the upstream library.

Use a WHY → WHAT → HOW review to reconstruct the project’s goal, map its architecture and trust boundaries, and inspect implementation details through that lens. Findings are ranked by leverage, so goal or architectural mismatches appear before naming and formatting nits. It is suited to AI-generated, inherited, or pre-refactor codebases, not small diffs or greenfield projects with no code yet.

Start from a brand configuration to build animated HTML5 banners across more than 15 standard IAB sizes, render backup images and previews, package network-specific ZIP files, and validate common ad-operations requirements. Current outputs target Google Ads, DV360, The Trade Desk, and Adform. The project is still alpha; its config-driven pipeline is available, while Figma MCP ingestion and additional social formats remain planned.

Create named teams from ten supported AI command-line backends, then dispatch a task to one member, fan it out for comparison, or run a staged writer-reviewer-synthesizer pipeline. An MCP bridge lets Claude Code call the team tools directly, while team variants and remote members support deeper or cross-host workflows. Setup requires Claude Code, Python 3.9, Node.js 18, and at least one compatible model launcher.