Find the open-source solution that fits.

box-rclone-binder uses Box server authentication so each host mints its own short-lived access token instead of sharing a rotating OAuth refresh token. The box-binder CLI deploys one Box drive to multiple servers through rclone, runs read-only health checks, performs bounded refresh or self-heal, and can schedule checks with cron or systemd plus Discord alerts. Fleet configuration stores pointers to secrets rather than secret values.

screen-vision treats the operating system’s accessibility tree as the primary source for desktop UI names, states, types, and rectangles, using OCR or icon vision only to fill gaps. Its CLI probes the host, captures a screenshot plus structured elements, and can click by element ID with dry-run as the default. It targets native, Win32, WinUI, Electron, game, or remote-desktop windows—not browser pages, which should use Playwright.

promotion-assistant coordinates email, posts, forum replies, and direct messages for a shipped product, tracks a six-layer conversion funnel, and uses Thompson Sampling to adjust tactics from measured feedback. It keeps copy, audiences, policies, and credentials in a separate private config repository. Dry-run is the safe default: no outbound action is allowed until the product and that individual channel are explicitly enabled, so it is neither a spam cannon nor a scheduling engine.

email-monitor incrementally watches Gmail over read-only IMAP using UID watermarks and message deduplication, then classifies new mail through L0 rules, L1 cheap scoring, and an optional L2 LLM hook. It sends only a redacted title to Discord and can archive or summarize messages, but replies remain drafts for the user to send. Mail bodies stay with the local model, while account topology and secret pointers live in a private config repository.

daily-hotspots gathers opportunity candidates from multiple sources, merges them across days, applies a reproducible scoring rubric, and delivers tiers through Discord with a private archive. A fail-closed gate requires at least two independent origins and keeps deep dives within a daily limit; deeper research is delegated to market-intel or small-cap-deepdive. It owns cadence and ranking, not the underlying search or verification engines.

auto-support is a Claude Code plugin for answering a product’s Discord users from an allowlisted set of public documents. It uses permissions, a fail-closed tool hook, standard-library detection, and an egress DLP gate so the model cannot open secrets or source files. Out-of-scope or uncertain questions are refused and escalated to founders; the MVP produces drafts for a user to review rather than auto-posting.

demand-mining turns a shipped product’s Discord conversations into a daily demand radar. It removes PII before the model sees messages, extracts explicit and implicit jobs-to-be-done, deduplicates across days, and ranks the pool with RICE, Opportunity, WSJF, and Kano views. The result is an end-of-day brainstorm and prioritized iteration queue; search, verification, and listening are delegated to companion tools.

five-step-algorithm forces a process review in the order question, delete, simplify, accelerate, automate. It prevents addition bias by making removal and simplification precede new wrappers, retries, agents, or optimizations. A Backward Check stops repeated rounds of fixes and asks whether the problematic step should exist at all. Use it before extending workflows, building agents, or carrying dead requirements into a migration.

seedance-storyboard converts a screenplay, scene description, ad concept, or even a one-line idea into a storyboard for Seedance or Jimeng text-to-video generation. It first fixes the global visual style, palette, mood, and continuity constraints, then lays out a timed shot sequence with framing, camera movement, subject action, and detail. The result is a shot-writing aid, not the video renderer itself.

ideation-engine reads the shape of an ideation request and routes it to methods such as affinity mapping, product framing, or provocation. It is strongest on transcripts, interviews, social posts, and research notes: the output must retain real proper nouns, concrete mechanisms, and implementable details instead of generic categories. A quality gate screens out vague ideas and helps turn raw source material into feature or experiment candidates.

design-effects-skill teaches an agent to select visual effects for UI and branding contexts, with decision rules that also say when not to use them. Its references cover animated backgrounds, text and scroll motion, liquid or glass treatments, shader gradients, and 3D UI, with implementation examples tied to common libraries. A browser-ready examples page lets you preview the effects without a build step.

font-pairing-skill helps an agent choose display and body faces, match typography to a project palette and icon weight, and build a coherent type scale. It includes eight archetype recipes, variable-font guidance, Google Fonts import references, and loading patterns such as preconnect, preload, font-display, and subsetting. The goal is a considered type system that avoids layout shift rather than a random font list.

icon-system-skill guides library selection across Lucide, Phosphor, Heroicons, Radix Icons, and React Icons, then defines optical sizing, stroke-versus-fill choices, weight matching, and color inheritance through currentColor. It also covers animated SVG patterns, aria labels, and 44×44px touch targets, with eight project-archetype recipes. Use it when an interface needs a consistent icon language rather than one-off symbols.

hyperagent-orchestrator teaches Claude to use Hyperagent’s hosted MCP server as a remote control for existing agents. Its core loop lists agents, creates a thread, polls until it stops, and sends follow-up messages; recipes cover sequential chains, parallel fan-out, and user-in-the-loop refinement. The opening request must be self-contained because an agent cannot ask for clarification mid-run, and scores or costs remain visible only in the Command Center.

eslint-complexity-guardian locates an ESLint configuration, checks whether the complexity rule exists, and adds or updates only that rule. It shows a focused diff and explains the effect, while leaving other files, rules, dependencies, and settings untouched. It supports legacy config files, Flat Config, and eslintConfig embedded in package.json.

psycho-cybernetics gives Claude a mindset lens based on self-image, clear targets, and feedback. It encourages the user to aim, act, read failure as steering data, and adjust instead of treating setbacks as a verdict about identity. Invoke it with /psycho-cybernetics or let it trigger when the obstacle is mental rather than informational. It is a coaching frame, not a diagnostic tool.

supertutor teaches through plain definitions, concrete worked examples, and explain-back rather than accepting a learner’s nod. After each restatement it identifies the first gap using a fixed rubric and ladders hints until the learner can rebuild the idea. The skill is aimed at genuine understanding, with first-principles engineering as its flagship example; simple one-line facts are better answered directly.

auto-skill-manager scans the available skills, installs missing ones, and activates the right tools for a task across Claude Code and Cowork. It supports Windows, macOS, and Linux, uses Python 3.8 or newer for scanning, and can bring in optional Python, Node, or command-line dependencies when needed. The convenience comes from handling local setup instead of requiring manual installation steps.