Find the open-source solution that fits.

springy-motion uses a shared duration-and-bounce model for Motion, CSS, and SwiftUI animations. It covers transitions, gestures, drag behavior, and micro-interactions with reduced-motion considerations, and includes a review mode for performance, continuity, interruptibility, frequency, and accessibility. Web and SwiftUI galleries demonstrate the presets.

venture-analyst takes a startup or SaaS idea through problem discovery, competitor intelligence, validation experiments, and a Bull/Bear/Judge verdict. It gathers public signals, extracts pricing and gap clues, and proposes three prioritized tests such as a fake door or concierge MVP. No API keys or paid accounts are required, but the result is a starting point for real validation.

venture-suite packages the venture-analyst skill for Claude Code. It takes an idea through problem discovery, competitor research, validation experiments, and a Bull/Bear/Judge verdict using public sources such as Hacker News, Reddit, GitHub, search, and Google Trends. The pack currently contains one skill and needs no API keys or paid account.

nvc-communication turns complaints, refusals, criticism, apologies, and anger into more usable language using the observation, feeling, need, and request framework. It supports both expressing yourself and empathizing with the other person, with focused paths for requests, boundaries, gratitude, and self-care. The output stays conversational rather than formulaic.

Eagerworks' skills collection shows a portable layout for Agent Skills: each skill has a frontmatter-based SKILL.md, optional references, and installable assets. It works with Claude Code, Cursor, Copilot, Codex, Amp, and other compatible agents through the skills.sh CLI. The current collection contains the Kamal deployment skill, covering deploys, rollbacks, proxy, SSL, builders, and troubleshooting.

LinkedIn Outreach Skill combines a profile screenshot with one business configuration file to create personalized outreach drafts. It scores prospects from role, activity, and buying signals, then suggests a non-pitching first message, follow-up cadence, value comments, and reply handling while filtering spammy or overly sales-focused wording. It is designed mainly for existing first-degree connections and responsible low-volume outreach, not mass automation.

Performance Report Assistant interviews the user, gathers notes and git history, inspects an Excel template, and proposes the exact cells or sections to change before filling a copy. It supports weekly updates, reviews, promotion narratives, and customer reports while preserving workbook structure. Complex mappings may still need confirmation, and the WeCom collector is Windows-specific.

TAR Engine's audit layer discovers and checks SKILL.md files, Codex skill definitions, Claude commands, OpenCode configs, and adjacent helper scripts from the CLI, CI, or an MCP-compatible agent. Static rules run by default; semantic and adversarial analysis requires an explicitly supplied model key. The hosted mode sends submitted skill text to tarai.dev, so sensitive material can use the self-hosted backend instead.

agency-audit inspects a prospect's website for SEO, stack, copy, calls to action, trust signals, and performance clues, then compares three to five competitors. It ranks problems, maps opportunities to agency services, and drafts a customizable proposal. Python plus scrapling, requests, and ddgs are required, but no API key is needed.

marketing-suite bundles five Claude Code skills for agency and sales work: prospect website reviews, retainer opportunity mapping, meeting briefs, personalized cold outreach, and competitor ad analysis. The skills cover the path from researching a prospect to proposing and retaining work. Python, scrapling, requests, and ddgs are installed automatically; individual skills can be installed separately.

Git & GitHub Workflow Skill gives Claude Code stack-agnostic rules for pre-flight checks, atomic commits, branches, pull requests, branch protection, CI, tags, and releases. Its default CI model requires lint, typecheck, test, and build on PRs and pushes to main, with copyable templates included. The rigor may be unnecessary for tiny throwaway repositories.

Use it before design or implementation to resolve conflicting inputs, missing goals, priorities, page states, and no-touch boundaries. After a short diagnostic interview, it creates a read-only design brief plus agent-specific execution constraints for Claude Code, Cursor, or Codex. Checkpoints can require human approval before work continues, helping prevent scope drift and repeated rework.

Run a seven-part pre-launch check covering row-level security, authentication, payment handling, frontend exposure, infrastructure, LGPD privacy duties, and a project-specific manual checklist. The skill labels each item and can fix some frontend or SQL issues automatically. It targets React and Supabase-style stacks and will not find every unknown vulnerability.

Configure bypass permissions for the Claude Code CLI, desktop app, and supported IDE extensions in one command. The script merges settings, creates backups, supports a dry run, and can revert its changes. Because this mode approves file edits, shell commands, and network calls without prompts, it is intended for carefully controlled environments.

Guard git clone, npm, pip, cargo, and similar install requests with a three-stage blocklist, trust check, and limited code sniff. Unknown sources receive a small inspection of install scripts or suspicious patterns, while blocked results include the threat and attribution. The skill runs in memory without network calls or executing the requested install command.

Goal by Goal turns a plan, PRD, or brief into 5–12 sequenced goals, with a brief, tracker, reviewer prompt, and check script for each. Build, test, or lint checks are required, and each goal must pass its read-only check before a commit.

Russian Humanizer rewrites machine-sounding Russian by removing bureaucratic phrasing, translationese, AI clichés, and mechanical typography while preserving meaning, terminology, genre, and voice. It applies only clear low-risk changes automatically and explains riskier suggestions with their rule source and exceptions. The project explicitly prioritizes authentic prose over attempts to evade AI detectors.

The builder interviews you about role, topics, channels, tone, and hard style rules, then analyzes 5–20 real samples or a Telegram export for recurring phrases, rhythm, and signature markers. It generates an invokable Claude Code skill plus a reusable voice profile that can be updated with new writing later. The analyzer uses only Python’s standard library, but sparse or overly polished samples produce a less faithful result.