honcho

165 evidence-grounded skills for teachers, school leaders and EdTech: pedagogy, learning science, curriculum, assessment.

165 skills

122 sales skills for SDRs, AEs and revenue leaders: prospecting, discovery, objection handling, negotiation, pipeline management, AI SDR bots.

122 skills

OpenMontage agentic video production: its 91 skills. The full pipeline needs the project cloned.

93 skills

Conversion and marketing frameworks: CRO methodology, StoryBrand, Scorecard Marketing, Contagious, 1-Page Marketing Plan.

65 skills

Sales and persuasion frameworks: Cialdini's influence psychology, Predictable Revenue, Made to Stick, $100M Offers.

65 skills

Marketing skills: CRO, copywriting, SEO and more.

53 skills

Long-term semantic memory for Claude Code, powered by OpenViking

5 skills · 1 command · 1 MCP server · hooks

Manage tasks, plan your day, and build up memory of important context about your work. Syncs with your calendar, email, and chat to keep everything organized and on track.

4 skills · 9 MCP servers

Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions

17 skills · 1 MCP server · hooks

A four-tier memory ladder for Claude Code where promotion is earned by recurrence, not asserted by confidence. L0 raw transcripts are never injected; L1 candidate atoms are gitignored and recalled on lexical relevance per prompt; L2 project context loads each session start; L3 stable persona is always loaded. L1 to L2 needs three distinct sessions spanning two distinct calendar days (a stated claim needs two; a verified claim is the only single-observation path); L2 to L3 needs two projects and thirty days. Two gates refuse rather than guess: a claim altered by the redaction pass never promotes on evidence alone, and a contradicted claim freezes until a human resolves it. Three hooks run the loop unattended and every one fails open. Nothing reaches a committed CLAUDE.md without an explicit human adopt. Ships 5 stdlib scripts, 3 hooks, a cs-memory-curator agent, /cs-memory, a JSON schema, and a 69-check validator. Concept from TencentCloud/TencentDB-Agent-Memory (MIT); no upstream code included.

1 skill · 1 command · 1 agent · hooks

Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).

19 skills

Skills plus explorer and reviewer subagents for building, scaffolding, debugging, understanding, and auditing applications with the Atomic Agents Python framework. Progressive-disclosure references for schemas, agents, tools, context providers, prompts, orchestration, memory, hooks, providers, project structure, and testing — plus a troubleshoot diagnostic, isolated-context subagents for codebase mapping and code review, and a new-app scaffolder.

7 skills · 2 agents