New startup ideas · AI for people who run the AI themselves · Analysts, researchers and creators running their own stack
startup concept
Skillcask
Version, test, and sell your expertise as licensed Agent Skills
Authoring and licensing infrastructure for experts who package their methodology as Agent Skills.
- Infrastructure and APIs
- Consumer
- Rides 'Agent Skills
7
similar startups, last 2 years (29 all-time)
yes
8 matching federal grants and programs
Direction supported by government programs and grants
Test it before you build it
$600 · 4 weeks · 25 prospects
For $600 and 4 weeks, prove creators already selling prompt products will pay for skill testing and license keys before the harness is built.
Riskiest assumption · Creators already earning from paid prompt products lose enough money to model-update breakage and unpaid resharing that they will pay an independent tool $149 a year now, rather than wait for agentskills.io or a model vendor to bundle testing and paid distribution.
1Focus group: who and where
A solo creator or consultant with a live Gumroad or personal-site storefront selling prompt packs or Claude templates at $20-200, who this quarter fielded refund requests after a model update broke their product or watched it get reshared for free
where to find 25 · Gumroad marketplace search for Claude and ChatGPT prompt packs, which surfaces 30+ active sellers with linked socials in an afternoon; r/PromptEngineering and r/ClaudeAI, where these sellers post and promote; creators on X and YouTube who publish Claude and Copilot skill tutorials and sell to their audience
2Sell first, build later
Founding creator package: version control for one SKILL.md folder, regression runs against three saved tasks on every model update, and license-key checkout wired into the creator's own storefront, live within 30 days of the fifth reservation
the ask · $149 for the first year, reserved with a $49 refundable deposit; the standalone manual regression report is $79
a real yes · A real yes is a $49 reservation charged or a $79 report paid; retweets, 'this is exactly what the ecosystem needs', and offers to promote it in exchange for free access are noes
3Small experiments
The first one attacks the riskiest assumption; each ends with a number that says whether to run the next.
1. Prompt seller pain calls
$100 · 10 days
Pull 40 active sellers of Claude and ChatGPT prompt products from Gumroad search and their linked X profiles, DM or email each, and book 15 twenty-minute calls. Ask what happened to sales and support the last time a model update changed behavior, whether their files get reshared, and close with the $49 founding reservation.
keep going if · 9 of 15 report a model update breaking a paid product or unpaid resharing costing them sales, and 5 of 15 pay the $49 reservation
2. Founding reservation page
$150 · 10 days
A one-page site: your methodology as a versioned, regression-tested, license-keyed Agent Skill sold from your own site, founding year $149, reserved with $49 refundable. Share it in r/PromptEngineering and r/ClaudeAI where rules allow, send it after every call, and ask two interviewed sellers to repost it to their audiences.
keep going if · 8 reservations from 40 contacted sellers plus 200 page visitors
3. Paid manual regression report
$350 · 14 days
Sell a $79 standalone report: the founder hand-runs one seller's existing skill or prompt pack against three of the seller's saved tasks on Claude and Copilot, and delivers a pass-fail diff showing exactly where it breaks. Offer it on calls to sellers who balk at the reservation; deliver each within 4 days.
keep going if · 5 sellers pay $79, and 3 of the 5 upgrade to the $149 founding year after seeing their report
4Collect a deposit up front
Tesla took $1,000 refundable reservations for the Model 3 and $100 for the Cybertruck before building either: the deposit is the measurement, not the revenue.
$49
per prospect, refundable
how · A refundable $49 reservation through a card checkout on the landing page, sent as a link at the end of each DM thread and call; these are creators who themselves sell through instant checkout links, so paying that way is native to them, and the $79 regression report is a second, invoiced way for skeptics to move money first set up: Stripe Invoicing ↗
what it reserves · A slot in the 10-creator founding cohort, the $149 first-year price locked, and their top skill onboarded first with license keys live within 30 days of the fifth reservation
refund · Refunded in full on request any time before onboarding, or automatically if licensing is not live within 30 days of the fifth reservation
target · 8 paid commitments (a $49 reservation or a $79 report) from 40 contacted sellers within 28 days
Go: build it if
8 of 40 contacted sellers move money in 4 weeks, including at least 3 full $149 founding-year purchases
Kill: stop if
Fewer than 3 sellers pay anything after 40 DMs and 15 calls, or interviewed sellers consistently say model-update breakage and resharing cost them nothing worth paying to fix
5 Scripts to run itoutreach message, landing copy, deposit terms · click to open
outreach message
You sell prompt packs on Gumroad, and Agent Skills are where that business is heading. I'm building Skillcask: it versions your SKILL.md folder like code, regression-tests it against your saved tasks on every model update, and issues license keys so buyers can't just repost your files. Before writing production code I'm talking to 15 sellers already earning from prompts. Got 20 minutes this week? Either way, I'll hand-test one of your products against three tasks and send you the results.
landing page
Sell your expertise as a versioned, tested, licensed Agent Skill $49 refundable reservation locks the founding year at $149 with license keys included Reserve your founding creator slot
deposit terms
Your $49 reserves one of 10 founding creator slots and locks your first year at $149. Your skill gets versioning, regression tests against your own saved tasks, and license-key checkout on your site within 30 days of the fifth reservation. Cancel before onboarding, or if we miss that deadline, and the full $49 comes back within 5 business days.
Would you run this test?
One tap. The yes-share feeds the Demand pillar of this idea's score; nobody sees who answered.
Budgets are out-of-pocket estimates for a team of one to three, US market. Size the deposit to the deal, and check the terms before taking money in a regulated line.
Scorecard
Ranked against every idea in the catalog: trend, demand and 100x potential from the corpus, competition relative to the other ideas. A generated concept has no judges or swipes yet, so its pillars use the data signals only.
58
Idea Score, 0-100 · raw 36.2 x 1.61
Active
competition: more crowded than 69% of ideas · headwind x0.65
+4.3
government priorities, secondary (54 matching grants)
Trend
35
Is the wave forming now? 2025-26 entrants vs 2023-24, rounds since 2025, the sector's live-batch direction, the 2026 trend analyst.
- Entrants 2025-26 vs 2023-24 (similar companies)55
- Rounds announced 2025+ in the sector0
- Sector direction (live batch)50
Demand
65
Does anyone want it? YC's current RFS, companies already paid for something similar, the operator judge, founders' yes-rate in decks, readers who would run the test.
- YC asks for it (current RFS: idea / sector)30
- Someone already pays (similar companies, recent / all-time)100
100x potential
50
Can it return a fund? The venture judge (double weight), market-size and moat axes, neighbours still alive, the technologist judge.
- Neighbours still alive50
Score = 100 x cbrt(Trend x Demand x 100x) x (1 - 0.5 x crowding) + government bonus (max 5), calibrated so the 95th-percentile idea scores 90 (order never changes). A geometric mean: a weak pillar cannot be papered over. Percentiles are among the 382 ideas in the catalog; the terms matched were version, test, sell, expertise, licensed, skills, authoring, licensing.
The concept in full
- What
- Authoring and licensing infrastructure for experts who package their methodology as Agent Skills. It versions SKILL.md folders like code, runs regression tests against sample tasks on each model update, and issues license keys so a creator can sell a skill from their own site with install-time verification. In the first hour a user imports an existing skill folder, runs the test harness against three saved tasks, and generates a paid license link.
- Grounded in (2025-2026 signals)
- Agent Skills launched October 16, 2025 and became an open standard on December 18, 2025 (agentskills.io); by June 2026 about 40 products supported it, including Claude, OpenAI Codex, GitHub Copilot, VS Code, Cursor, Gemini CLI and Goose. The collection's data shows only 4 companies in the last 2 years mention 'agent builder' and 2 mention 'prosumer', so the tooling layer around skills is nearly empty.
- What it rides
- Rides 'Agent Skills: launched October 16, 2025, an open standard since December 18': once about 40 products support the format, a skill is a durable artifact worth versioning, testing and charging for, and the tooling around that artifact is unbuilt.
- Why now
- The standard went open on December 18, 2025 and reached roughly 40 supporting products by June 2026, so a skill written once now addresses every major assistant; the window is before a platform vendor bundles versioning and licensing into its own store.
- Wedge: first customer and entry point
- Creators and consultants who already publish paid prompts and templates and want to ship a skill their buyers install into Claude or Copilot; entry point is the test harness alone, which is useful before any selling happens.
- Closest real companies, as the generator saw them
- The Prompting Company helps products get discovered by AI agents, which is distribution for companies, not tooling for individual skill authors. Confident AI evals whole LLM applications for engineering teams. No company in the brief versions or licenses skills; closest matches are adjacent, so effectively none tracked on the core function.
- Main risk
- agentskills.io or a model vendor ships first-party skill testing and paid distribution, absorbing the layer before an independent tool gets adoption.
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Public money in this direction
US federal grants and open opportunities matched to the concept's terms.
NIH / NIMH · SBIR phase I · $417K
NIH / NIGMS · SBIR phase I · $307K
National Science Foundation · SBIR Phase II · $1M
NIH / NIMH · SBIR phase I · $353K
NIH / NCATS · SBIR phase II · $986K
NIH / NIDCD · STTR phase I · $313K
NIH / NIGMS · SBIR phase I · $202K
NIH / NIAID · SBIR phase I · $303K
Other concepts in this collection
- SkillproofRegression testing for the Agent Skills you actually depend on
- ProvenaryScan third-party skills and MCP servers before you let them touch your data
- LedgerkitVersioned skill packs that make a solo CPA's assistant work like a tax practice
- VendfoldLicensing, signing and auto-update infrastructure for people who sell Agent Skills
- PackroomOne shared skill library for a team where everyone runs their own agent
- TokentabPer-skill cost, routing and drift telemetry for the person who runs AI all day
- ThreadkeepA memory vault you own that every assistant you run can read
- RelayfileHand a running task from Claude Code to Codex without losing state
- MeterhouseOne budget, meter and kill switch for every agent you run
- AttestlyAudit trail and approval inbox for the agents you run at work
- SkillvaneVersion control and regression tests for the skills your agents load
- CrewlineA shared board where each teammate's agents pick up each other's work
- WardkeySecurity scanner that finds and fixes exposed keys in vibe-coded apps
- StillupUptime and error monitoring that answers in fix prompts, not stack traces
- CopystoneAutomatic backups and one-click restore for apps built without engineers
- GroundskeepMonthly maintenance for shipped vibe-coded apps, applied as reviewable patches
- TillhousePayments, sales tax and refunds as one drop-in for non-developer founders
- SpendgateMeter, cap and route the AI spend inside apps vibe coders shipped
- DryloopRehearsal mode for the automations a small business owner builds alone
- MeterlyOne metered key with spend caps for every AI step you run
- FlowmedicWatches your automations, explains failures in plain English, proposes the fix
- ScrubdeckA data-cleaning step any workflow can call, with rules the owner keeps
- OpshandTurns your written SOPs into versioned Agent Skills with tests included
- CrewtraceShared visibility when five people at one business each run their own automations
- VeraciteCitation verification and AI work records for solo attorneys who draft with Claude
- TickstoneTurns a solo CPA's AI sessions into reviewable workpapers with tickmarks and source trails
- ChartproofA verification layer for physicians who use AI on clinical notes under their own license
- CoverlensPolicy-form verification for independent insurance agents who quote with AI
- MethodkitSolo consultants package their methodology as versioned Agent Skills they own and resell
- AttestrailTamper-evident logs of every AI action, built for licensed professionals' liability files
- ScrublineLocal redaction proxy that makes your personal AI accounts safe for work data
- StipendlyTurn personal Claude Max and ChatGPT Pro seats into managed employer stipends
- TollgateA policy gateway between your assistant and every MCP server it touches
- SkillvetScan, pin and approve Agent Skills before they touch company data
- DaylightSelf-serve shadow AI registry and policy for companies with no security team
- LedgerlineRightsizing dashboard for everyone paying for AI out of their own pocket
- SwitchyardOne metered endpoint with routing, fallback and per-person caps for tiny teams
- HearthmeterUsage budgets and one bill for the household that shares AI plans
- SeatcaseMeasures who on your team earns a Max seat and who wastes one
- TokencairnProfiler that shows what each installed skill and MCP server really costs
- FusegateBudget caps, fallback and kill switches for automations you run yourself
- SkillbenchRegression testing for Agent Skills before every model and skill update
- CitelockVerifies every citation in AI-drafted work before a licensed professional signs it
- MiddlegateA local gateway where you set the rules for what your MCP servers can do
- DriftwatchCatches output drift in the automations small operators wired themselves
- ShipcheckPre-launch review gates non-technical builders run on their own vibe-coded apps
- TracelineA claim-level provenance trail for every number in an AI-assisted report
- DrillyardScored practice repos where you learn to drive coding agents well
- PassrateA proctored AI operation exam scored from your real agent transcripts
- PatchcraftDebugging drills that teach non-technical builders to maintain what they vibe coded
- SkillsmithA workshop for writing, testing and versioning Agent Skills that actually hold up
- TickmarkSynthetic client caseloads where CPAs drill AI-assisted work before trying it on real clients
- PostgameAn MCP server that scores your own agent sessions and drills your weakest habits
- CitegridEvery number in your published research links to a source snapshot you verified
- MnemosYour research corpus as a private MCP server every assistant can query
- MeterlineModel routing and cost accounting for one person's AI research pipeline
- StackfeedA personal data pipeline that repairs itself when sources change
- ClaimboardA shared evidence ledger for small teams where everyone runs their own agent
Fictional concept generated 2026-08-26 by claude-fable-5 from the collection's brief and MarkosWeb data. Treat it as a research prompt, not a plan.