Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/olelehmann1337/workshop-plugin/offerarchitect-workshop-v2npx skills add olelehmann1337/workshop-plugin --skill offerarchitect-workshop-v2git clone --depth 1 https://github.com/olelehmann1337/workshop-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/olelehmann1337/workshop-plugin/offerarchitect-workshop-v2)<a href="https://agentmods.dev/skills/olelehmann1337/workshop-plugin/offerarchitect-workshop-v2"><img src="https://agentmods.dev/badge/skills/olelehmann1337/workshop-plugin/offerarchitect-workshop-v2.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00098 | $0.05208 |
| Opus 5 | $0.00049 | $0.02604 |
| Sonnet 5 | $0.00020 | $0.01042 |
| Haiku 4.5 | $0.00010 | $0.00521 |
Grade A, and why
offerarchitect-workshop-v2 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Offer Architect
Most offer copy fails because it sells stuff instead of access, leads with elevated content language instead of mundane outcomes, and runs the same promotion until the audience tunes out. This skill builds offers that fix all three at once: a shell of access tiers, a Promise/Path/Pricing/Why-Now map written in the customer's words, a protagonist arc that conditions the audience to buy, and a daily Red Velvet rhythm so offers ship every day instead of every quarter.
the core job
Produce a complete, copy-pasteable offer package the user can drop into a sales doc, email, or landing page today. Includes: offer name, one-sentence promise, tier table, sales bullets, why-now hook, and CTA — all run through the anti-slop pass.
Output: A single offer doc structured per the Output Format section below, plus one suggestion for what to refine next session.
core philosophy
Make offers daily. The #1 KPI is Offers Made — not created, MADE.
Until you fix offer frequency, nothing else matters. Broken links, ugly design, simple systems — if you make an offer every day (sometimes more), you'll win.
before starting: gather context
STOP. Do not produce output until context is in hand AND the brief is clear. Cap questions at 2 max.
Step A: Gather context (fast)
- Check CLAUDE.md first. Claude auto-loads
~/.claude/CLAUDE.mdand any project-levelCLAUDE.md. Scan for:- Business — what the user sells, current pricing tiers, delivery model.
- ICP — pain points, objections, the words they use. Promise/Path/Why Now must speak to THIS person.
- Voice — tone, do/don't, sample sentences. Offer copy must sound like the user wrote it.
- If missing, check the project folder for
Context/business.md,Context/icp.md,Context/voice.md. Read whichever exist. - If voice is missing after both: flag it — "I'll write the offer copy generic-tone and you can pass it through /anti-slop after."
Step B: Confirm the brief (≤2 questions, combined)
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 398 lines · 98 tokens per session scan A 02839556ebad
offerarchitect-workshop-v2 is a skill published in the GitHub repository olelehmann1337/workshop-plugin (7 stars, last pushed 4mo ago), licensed MIT. It adds 98 tokens to every session and 5,208 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…