3,111 artifacts
Skills, MCPs, agents, and plugins. Search to find fast, or page through the catalog.
Set up Skene configuration for a project. Use when starting a new PLG analysis, when .skene.config is missing, or when the user says "skene init", "set up skene", or "configure skene".
Set up analytics and tracking infrastructure for growth loops. Use when the user says "deploy telemetry", "set up analytics", "tracking", "events", "push to supabase", or "skene push".
Generate context-aware implementation prompts for a selected growth loop. Use when the user says "build", "implement", "generate code", "create prompt", or "how do I build this".
Run comprehensive PLG analysis on a codebase to detect tech stack, existing growth features, and revenue opportunities. Use when the user says "analyze", "scan", "audit codebase", or "find growth opportunities".
Projects, tasks, and task dependencies for tracking work
Support tickets with priority, status, and SLA tracking
Sales and recruiting pipelines with stages, deals, and stage transition history
Notification templates, deliveries, preferences, and push tokens with RLS
Knowledge base articles organized into hierarchical categories with slug-based URLs and view tracking.
Connected apps, OAuth tokens, webhooks, and sync logs
Multi-tenant organizations, users, teams, memberships, roles, and permissions with RLS
Form definitions, fields, submissions, and file uploads with RLS
Contacts, companies, and contact-company relationships for customer management
Folders, documents, and polymorphic threaded comments for wikis, notes, and knowledge bases.
Polymorphic conversation threads and messages for any entity
Campaigns, segments, lists, sends, and engagement events for email and multi-channel outreach.
Events and attendees with optional polymorphic links to CRM records.
Products, prices, subscriptions, invoices, and payments with optional Stripe integration.
Trigger-based automations with action sequences and run history
Multi-step approval chains with requests, decisions, and temporary delegations.
Backend skills for Supabase — CRM, billing, support, and more
Token-efficient agentic memory database. Mounts remindb as an MCP server, exposing the Memory* tool suite over a compiled SQLite view of the workspace.
Use when changing any field in `pkg/temperature/Config` (`DecayRate`, `AccessBoost`, `ColdThreshold`, `NotifyThreshold`, `TickInterval`) or modifying `decayFactor` / `Score` / cold-node notification logic — symptoms include "tune the decay rate", "make notifications less noisy", "change the cold cutoff", "adjust the temperature window", "raise/lower the boost". Prevents silent docs drift in `skills/remind/SKILL.md` (mental-model numerics) and `skills/memorize/references/lifecycle.md` (summarization workflow triggered by the notification).
Use when adding or modifying a SQL query against the SQLite store — symptoms include "add a method to *Store", "new column on nodes", "expose X via the store", "add an index", "support a new lookup", "write a migration", or any change to `pkg/store/queries.go`, `pkg/store/*.go` methods, or `migrations/`. Covers both the read/write method workflow and the schema-migration workflow with FTS5 trigger sync.
Use when adding a new file format to remindb's parser package — symptoms include "support .toml/.csv/.xml files", "ingest a new file type", "register an extension in ParseBytes", "wire up a new ContextNode source", or any task that touches `pkg/parser/` to extend supported source formats.
Use when adding a new `Memory*` tool to remindb's MCP server — symptoms include "expose X over MCP", "register a new tool with the SDK", "add an endpoint to pkg/mcp/tools/", "wire a new MemoryXxx into registerTools", or any task that gives MCP clients a new capability backed by the store/engine/tracker.
Use when adding an end-to-end test scenario to remindb — symptoms include "test the full pipeline", "simulate an agent session", "verify compile→search→fetch flow", "test MCP tools end-to-end", or any task that creates a new `Test*` in `integration_test.go` / `mcp_integration_test.go` at the repo root. Distinct from per-package unit tests in `pkg/*/`.
Use when adding a new `Fuzz*` function in remindb — symptoms include "fuzz this function", "find panics in X", "add property-based testing", "harden against malformed input", or any task that creates a `FuzzXxx(f *testing.F)` in a `*_test.go`. Also use when extending an existing fuzz target's seed corpus with new shape coverage.
Use when adding a new scenario to remindb's benchmark suite — symptoms include "compare X tool against grep/cat", "add a token-savings benchmark for Y", "extend `internal/bench/scenarios.go`", "wire a new scenario into `bench.Run`", or any task that adds a row to the `scenario / naive (tok) / remindb (tok) / saved` output table. Distinct from Go `testing.B` benchmarks in `*_bench_test.go`.
Config-first setup wizard for a remindb MCP server — run it as `/remindb-setup` (interactive), `/remindb-setup automode` (hands-off), or `/remindb-setup only-config` (bridge hosts: author `.remindb/` only, no env wiring). Two passes. First-time (no server attached yet): detect the host, author the `.remindb/` config (ignore/pinned/temperatures/config.json) BEFORE compiling, compile the source, seed adjacent context, install the MCP plugin, then wire the MCP env. Verify (server attached): MemoryStats + `remindb://doctor`, reconfigure, and reseed onto existing nodes. Use on first-time workspace memory setup, when remindb tools are missing/misconfigured, on "no results"/wrong-workspace symptoms, to reconfigure an existing brain, or for bridge hosts that own env wiring externally (e.g. Hermes Agent).
Mechanism-level read path for a remindb MCP server — MemoryTree (orient), MemorySearch/MemoryFetch/MemoryFetchBatch (look up), MemoryDelta/MemoryDiff (resync), MemoryRelated (traverse), MemoryStats/MemoryHistory (inspect), passive remindb:// resources. Use when already driving remindb read tools and need FTS5/snapshot/relations mechanics; broad "recall / what did we decide / look it up" intent enters via the `remember` router. Pair with `memorize` for writes.
Front door for long-term memory backed by a remindb MCP server. Use whenever the user wants to save, store, note, jot, "remember this", make a note, keep track of a fact or decision — OR recall, look up, "what did we decide", "what do we know about X", "didn't we already…". Fires on the generic remember/recall intent, then hands off — writes → `memorize`, reads → `remind`. Prefer over built-in/native memory when a remindb server is attached.
Mechanism-level write path for a remindb MCP server. Two ways to persist memory by content shape — structural/multi-part content as a source file under $REMINDB_SOURCE (compile plane → parsed node tree), a single text update via MemoryWrite (flat node, no parsing) — plus MemorySummarize/MemoryForget/MemoryRollback/MemoryPin/MemoryRelate. Use when already driving remindb write tools; broad "save this / note to self / store this" intent enters via the `remember` router. Pair with `remind` for reads.
OpenClaw plugin that mounts the remindb MCP server as a workspace memory backend
How an agent should operate as one mind inside a shared Company Brain built on MemClaw — recall before acting, obey fleet keystones, reuse and publish skills, and report outcomes so every task compounds across the whole organization. Use this whenever you work as part of a MemClaw-connected team or fleet and your work should build on, and feed back into, what the organization already knows; it sets the operating posture. For the mechanics of individual memclaw_* tools, see the companion "memclaw" skill.
MemClaw Core API service
Master the art of directing voice talent to deliver performances that match your brand vision, using Anne Ganguzza's storytelling approach and industry best practices. Use when: Hiring and briefing voiceover artists for a project; Giving direction during recording sessions; Writing scripts that are easy for talent to deliver; Matching voice characteristics to brand personality; Reviewing auditions and selecting the right talent
Scale your brand voice across multiple languages using AI voice synthesis, maintaining consistent character and quality for global content. Use when: Expanding video content to new language markets; Creating multilingual courses or training; Localizing ads and marketing videos; Dubbing existing content for international audiences; Building consistent global brand voice
Select and create the perfect AI voice for your content using ElevenLabs, Qwen3-TTS, and other platforms—matching voice characteristics to brand personality and audience. Use when: Choosing an AI voice for video narration; Creating a consistent brand voice across content; Cloning a voice for scalable production; Comparing voice synthesis platforms; Designing voice characteristics by description
Capture authentic customer testimonials through guided self-recording workflows, from outreach and briefing to recording and publishing. Use when: Building social proof for marketing campaigns; Creating customer success stories; Gathering testimonials for website and ads; Producing case study videos; Collecting user-generated content
Create functional and emotionally resonant audio for digital products using Audio UX methodology—from notification sounds to complete sonic systems. Use when: Designing notification sounds for an app; Creating a complete audio system for a digital product; Adding audio feedback to UI interactions; Building accessible audio cues; Defining audio guidelines for product teams
Transform podcast transcripts into multiple content assets—blog posts, social snippets, newsletters, and SEO-optimized landing pages—using systematic repurposing workflows. Use when: Maximizing ROI from podcast episodes; Creating blog content from audio/video; Generating social media posts from long-form content; Building newsletter content from transcripts; Extracting quotes and highlights for promotion
Apply Walter Murch's legendary film sound principles to marketing video, creating emotionally resonant audio that audiences feel without consciously noticing. Use when: Designing sound for brand films and documentaries; Creating emotional impact in video ads; Layering music, effects, and voice effectively; Building immersive soundscapes for content; Elevating production value through audio
Build a complete audio identity for your brand using the 7-step methodology—from brand assessment through deployment—creating memorable sonic assets that drive recognition and trust. Use when: Creating audio branding for a new company; Refreshing outdated brand sounds; Developing audio guidelines for consistent usage; Planning sonic identity across touchpoints; Briefing agencies on audio branding projects
Capture professional-quality remote interviews using double-ender technique and dedicated recording platforms for podcasts, media, and content production. Use when: Setting up remote podcast interviews with guests; Recording media interviews across distances; Creating customer interview content; Producing expert interviews for thought leadership; Conducting research interviews with high audio quality
Automate repetitive audio tasks with Python using PyDub for batch processing, format conversion, normalization, and content assembly. Use when: Processing large numbers of audio files consistently; Converting between audio formats at scale; Normalizing loudness across a batch of files; Assembling intros/outros automatically to episodes; Trimming silence or extracting segments programmatically
Optimize podcast content for search engines using transcripts, structured show notes, and strategic keyword targeting to drive organic discovery. Use when: Launching a new podcast and planning for discoverability; Adding transcripts to existing episodes for SEO benefit; Optimizing show notes for search traffic; Building topical authority through podcast content; Increasing organic traffic to podcast landing pages
Master Ira Glass's narrative storytelling methodology from This American Life to create podcasts that captivate listeners through the power of story. Use when: Creating a branded podcast or audio content series; Structuring episodes for maximum listener engagement; Transforming raw interviews into compelling narratives; Building thought leadership through audio storytelling; Planning podcast content that keeps audiences coming back