Prompts, Context & Memory

Design multi-objective e-commerce product ranking combining relevance, conversion, and business metrics. Use this skill when the user needs to build a product ranking system beyond text relevance, balance relevance with commercial objectives, or implement learning-to-rank — even if they say 'product sorting', 'search result ranking', or 'how to rank products'.

Design and analyze factorial experiments to identify significant process factors and optimize settings. Use this skill when the user needs to systematically test factor effects, optimize a manufacturing process, or determine which variables matter most — even if they say 'which factors affect quality', 'optimize process settings', or 'design an experiment'.

Analyzes and improves prompts using 27 research-backed frameworks across 7 intent categories. Use when a user wants to improve, rewrite, structure, or engineer a prompt — including requests like "help me write a better prompt", "improve this prompt", "what framework should I use", "make this prompt more effective", or any prompt engineering task. Recommends the right framework based on intent (create, transform, reason, critique, recover, clarify, agentic), asks targeted questions, and delivers a structured, high-quality result.

Lightweight knowledge graph for AI-assisted development. Impact analysis, code search, dependency tracking, and context generation.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

On-device memory layer for AI agents. Claude Code, OpenClaw, and Hermes. Hooks + MCP server + hybrid RAG search.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Universal Context layer McP server

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Rewrites scene descriptions using professional cinematography language, structures prompts with a six-slot formula (camera + subject + action + setting + style + lighting), and diagnoses content filter rejections via a preflight linter. Use whenever the user asks for a Seedance 2.0 / Seedance Pro prompt, describes a scene for Seedance generation, mentions Seedance, reports a Seedance generation failure or flagged prompt, or is burning credits on Seedance regenerations.

An MCP server for conversation history search and retrieval in Claude Code

Use when the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — 'create a campaign', 'build a content plan', 'run the content pipeline', 'generate 100 UGC videos', 'plan and schedule a launch', 'make a batch of ads from my product', or 'how much did this save vs traditional production'. Covers the 5-stage orchestration (Research → Plan → Generate → Publish → Report), the UGC-first 5-format campaign mix (UGC Entertainment, Street Interview, Unboxing, Product Review, ASMR), the even-split allocation math, button-driven onboarding, the per-batch generation gate, and the publish + cost-report tail (satellite). Defers all Marketing Studio API ground-truth (presets, params, hooks, avatars) to higgsfield-marketing-studio.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Human-like memory for AI agents — auto-save, auto-recall, cognitive profile. Claude Code hooks, MCP server (29 tools), OpenClaw plugin, semantic/episodic/procedural memory. Free open-source Mem0 alternative.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Persistent architectural memory and structural cognition for AI coding agents.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Selene - Your agents, your rules

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Turns a brief, script, scene breakdown, treatment, or story idea into ONE connected director's shotlist for Seedance 2.0 — a single editable HTML artifact with a global Style Prefix, an @-asset glossary, and named per-scene prompts (1a, 1b, 2a…) each in Style → Characters → Scene → CUT 1..N form. Use whenever the user says 'make a shotlist', 'break this script into prompts', 'generate Seedance prompts for this ad/film', 'turn this brief into a shot list', 'director's shotlist', or wants many connected scene prompts rather than one. Also use to revise an existing shotlist (edit-once-propagates: 'change the style prefix everywhere', 'rewrite scene 4', 'split prompt 6'). Each prompt targets 15s; longer scenes split across 1a/1b/1c under one scene number.

Persistent intelligence infrastructure for agentic development

Persistent memory for AI coding agents. Semantic search, auto-capture, checkpoint/resume across sessions.

The Loop Engine — harness and loop engineering plugin for Claude Code. Router-kernel orchestration, workflow artifacts, sub-agent delegation, hook enforcement, Test Honesty Gates, fresh-context verification, and memory that persists. 73% leaner than v11, zero quality regression.

Complete self-contained patent creation system - NO MCP server required. Uses Claude Code skills, agents, commands, and hooks.

Open source AI context platform: document processing, knowledge graph auto-building, ontologies, GraphRAG/RAG, hybrid search (vector, property graph, RDF/SPARQL, fulltext), 13 LLM providers, 15 property graph DBs, 4 RDF triple stores, 10 vector DBs, LlamaIndex + LangChain, FastAPI, MCP server

Recursive Language Model - Process documents larger than LLM context windows

Zettelkasten-based agent memory system with bidirectional links

Memory management system for Claude Code — Student Loop, Smart Context, Auto Learn, Session Handoff, Correction Cycle. Triggered by memory commands (/save, /reflect, /handoff, /check) or memory-related questions. Not for general programming tasks.

Build profitable Google Ads campaigns by applying Perry Marshall's 80/20 principles to paid search optimization Use when: Setting up a new Google Ads account from scratch; Optimizing existing campaigns that are underperforming; Structuring campaigns for maximum quality score and ROI; Applying 80/20 thinking to identify high-leverage optimizations; Scaling profitable campaigns without wasting budget

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

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

Analyze conversion funnels and identify drop-offs. Use when: analyzing checkout funnel; tracking signup flow; identifying conversion blockers; optimizing user journey; visualizing funnel performance

Analyze user retention by cohort. Use when: measuring customer retention; understanding lifecycle patterns; comparing acquisition cohorts; tracking engagement over time; identifying churn risks

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

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

Master ACX-compliant audiobook production using Audible's technical standards and Richard Mayer's multimedia learning principles for engaging, professional audio. Use when: Producing an audiobook for Audible/ACX distribution; Creating audio versions of courses or written content; Setting up narration workflow for long-form content; Ensuring audio meets professional distribution standards; Self-producing an audiobook as an author

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

Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.

Master the art of podcast interviewing using NPR training methodology and Tim Ferriss's preparation techniques to extract compelling stories and insights from any guest. Use when: Preparing for a podcast interview with a guest; Designing questions that elicit stories, not soundbites; Struggling to get guests to open up authentically; Planning a new interview-format podcast; Improving your interviewing technique

Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions

Analyze sentiment in text using ML models. Use when: analyzing customer reviews; processing NPS feedback; monitoring brand mentions; evaluating campaign responses; categorizing support tickets

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

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