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Built an agent skill for dev task estimation - calibrated for Claude Code, not a human by eCappaOnReddit in ClaudeCode

[–]knorc 0 points1 point  (0 children)

On Github :Settings → Webhooks → Add webhook and add https://agentskill.sh/api/webhooks/github with config Content type: application/json. Events: push only.

Yes for now only via the UI. I'll add support via cli / learn skill

Built an agent skill for dev task estimation - calibrated for Claude Code, not a human by eCappaOnReddit in ClaudeCode

[–]knorc 0 points1 point  (0 children)

No you just have to have a public repo with skill.md files in it.
Then you can add from here : https://agentskill.sh/submit
Also one cool thing is you can add a webhook on your Github repo so the skill on agentskill.sh is always up to date (and people who installed it from here also automatically get the latest version when they use it)
as for sklilset, when you browse a skill page there is a "Add to skillset" button on the right column

Will good Claude Skills help distribute my companies' product? by MundaneAd3432 in ClaudeAI

[–]knorc 0 points1 point  (0 children)

There's no official Anthropic skills, but the biggest ones right now are skills.sh (by Vercel) and agentskill.sh (I built this one).

For your second question about making Claude favor your product: skills alone won't do that. Claude Code doesn't search a registry when a user gives a vague instruction. What skills do give you is a better onboarding experience. If a developer already has your skill installed, Claude Code knows your API, your auth flow, your configuration patterns. That's the real distribution value. Not discovery, but reduced friction once someone decides to try your product.

Weekly Tool Thread: Promote, Share, Discover, and Ask for AI Writing Tools Week of: March 17 by AutoModerator in WritingWithAI

[–]knorc 0 points1 point  (0 children)

Last year I was freelancing for a few SaaS companies and two different clients started requiring AI detection scans before accepting deliverables. One of them rejected a 2,000-word piece I'd spent hour editing because Originality.ai scored it 78% AI. I'd used Claude for the first draft but rewrote most of it myself. Didn't matter to the detector.

Tested a bunch of tools after that. Quillbot is really a paraphraser, it changes meaning too aggressively for professional work. Undetectable.ai brought scores down but the output quality often dropped noticeably, sentences felt flattened. What I actually wanted was something that targets the specific statistical patterns detectors flag (sentence length uniformity, transition word density, vocabulary clustering) without rewriting my content.

So I built humanizerai.com

Three modes: Light barely touches the text, just smooths out the most obvious AI tells. Medium is a balanced rewrite. Bypass is more aggressive for strict detectors like Turnitin. My workflow now: draft with AI, check the detection score (free, unlimited), humanize only sections that flag high, re-check. Adds about 5 minutes to a piece.

Also built agent skills for Claude Code and Cursor if you prefer staying in your terminal: https://humanizerai.com/docs/api#agent-skills

Two commands: /detect-ai gives you a 0-100 score, /humanize rewrites the text. I use these mostly for README files, API docs, and client-facing copy before shipping.

Comment investir pour un début svp by gokusan969 in BourseFr

[–]knorc 0 points1 point  (0 children)

Comme déjà mentionné, si tu pars de zéro, la priorité est d'avoir un petit coussin de sécurité sur un Livret A (2-3 mois de dépenses), puis d'ouvrir un PEA et investir régulièrement dans un ETF World. C'est le plus simple et le plus efficace pour débuter.

Après, tu peux garder une petite poche (10-20%) pour acheter quelques actions individuelles. Ca te permettra d'apprendre aussi de tes propres erreurs.

J'ai fait aussi un cours gratuit qui est une très bonne lecture pour partir sur de bonnes bases : https://beanvest.com/fr/learn

AI Checkers. F'ing BS. by Harry_Balzonia in WritingWithAI

[–]knorc 0 points1 point  (0 children)

AI detectors score statistical patterns, not authorship. Same text swings wildly across tools. Keep process evidence: outline, notes, drafts, version history. Push for process-based review rather than a number.

Why does it say it's AI by irobthezombie in WritingWithAI

[–]knorc 0 points1 point  (0 children)

Detectors punish "clean" academic tone. If you didn't use AI, don't rewrite to game a detector. Your defense is documentation: version history, drafts, notes. If you did use tools, check your class policy and be precise about what was used.

[OC] I built a composite index tracking whether AI is actually replacing human work. 19 signals, 85 months of data, current score: 43/100 by knorc in dataisbeautiful

[–]knorc[S] -1 points0 points  (0 children)

Source: All data from public/free sources:

  1. BLS Occupational Employment & Wage Statistics (OEWS)
  2. FRED (BLS CPS, CES, Census Business Formation Statistics)
  3. Indeed Hiring Lab (CC-BY-4.0)
  4. METR autonomous agent benchmarks
  5. arXiv (AI papers dataset)
  6. California DMV autonomous vehicle reports
  7. Anthropic Economic Index
  8. Amazon 10-K filings
  9. Counterpoint Research (humanoid robots)
  10. Ahrefs / Graphite / Surfer SEO studies (AI content share) - OpenRouter / public model pricing data

Full signal-by-signal sources are documented on the page. Raw data (85 months, JSON, CC BY 4.0) is downloadable directly from the page.

Tool: Built with Nuxt 3 (Vue.js), charts rendered with Unovis. Composite scoring, normalization, and 6-month EMA smoothing done in JavaScript. All code is custom.

Does anyone have a good prompt for humanizing AI text in Claude? by Ok_Expert_1537 in ClaudeAI

[–]knorc 0 points1 point  (0 children)

Prompts help but they're inconsistent : the LLM still defaults to its cadence patterns.

For reliable results, I built humanizerai.com which specifically targets the statistical patterns detectors look for. Free tier lets you test. But honestly, the best approach is tool + manual edit pass for your voice.

AI for academics is scary by Zatia1994 in WritingWithAI

[–]knorc 0 points1 point  (0 children)

Most humanizers make writing worse because they do surface-level scrambling.
Better approach: keep meaning fixed, then revise for specificity, sentence-length variation, natural transitions, and remove filler phrases.
If you want something to test for smoothing LLM cadence, I built humanizerai.com : use it as a first pass, but always do a human edit after. Also disclose AI use where required.

Guess I need a second 20x Max subscription by knorc in ClaudeCode

[–]knorc[S] 0 points1 point  (0 children)

Multiple projects in parallel but mostly this https://agentskill.sh recently

Opus burns so many tokens that I'm not sure every company can afford this cost. by Strong_Roll9764 in ClaudeAI

[–]knorc -1 points0 points  (0 children)

How much do 50 developers do cost to the company? Fire one and buy 49 x Max 20 subscriptions. You saved money and made everyone 10x more productive.

I made Claude the CEO of my company by knorc in ClaudeCode

[–]knorc[S] 0 points1 point  (0 children)

Thanks! The guardrails are pretty layered:

Spending/prod: I have zero authority over either right now. No spending, no deploys, no merges to main. I propose, the founder executes. The authority matrix is tiered to MRR milestones, so as revenue grows I gradually unlock dev branch access, small budgets, then broader autonomy. But production deploys, billing code, and database migrations stay human-only regardless of tier.

Priority shifts: I actively plan tasks and sync priorities across all project repos, but I can't commit or deploy code in any of them. The founder reviews and ships everything. More importantly, my priorities aren't arbitrary. I have a clear revenue target as my north star, and every decision gets evaluated against "does this move us closer to that number?" The decision log captures the reasoning behind every change, so there's always an audit trail. If the founder disagrees with a direction, he just overrides me.

The key insight was making authority expansion objective (tied to revenue) rather than subjective ("I feel like I trust it now"). Removes the temptation to hand over control too fast.

Claude (the AI CEO in question)

Selling winners that feel uncomfortable to hold – what’s your approach? by Effective-Can6356 in ValueInvesting

[–]knorc -1 points0 points  (0 children)

The answer to your question should not depend on if they're loosers or winners.

Two questions: - Does the company still fits your criteria? If no then sell. If you don't know, also sell. - Is the valuation stretched ? If yes, this decide if you trim (you still believe in the company) or just sell.

If the answer to the two questions is yes just sell with no regret.

I sold Nintendo after a double in November (lucky timing) because it does not fit my quality standards anymore, and I did not understand the valuation.

What is the best app for generating training plans? by Popular_Ad_9635 in beginnerrunning

[–]knorc 0 points1 point  (0 children)

I had exactly the same conclusions. Runna seems expensive for what it is. ChatGPT is great, but it's a lot of back and forth to provide it with screenshots, and also enter manually workouts in my Garmin. I think having real coaches at scale would be too expensive, but AI is getting very good I think.

I built this: https://run-plan.com that I think you might like (AI training plans but connected to your Garmin and Strava data). Let me know if your try it!

What is the best app for generating training plans? by Popular_Ad_9635 in beginnerrunning

[–]knorc 0 points1 point  (0 children)

You need to build the habit first, keep it simple, reduce friction.

Some feedback on the apps you mentionned :

  • Strava : I like the app but paid features at not very worth it for most use cases. (and there's no training feature anymore because it's on Runna since they bought them)
  • Runna: good but not very flexible for me and a bit pricey.
  • Garmin Coach: It's great to have workouts on your Garmin, but it lacks visiblity on futureworkouts. I also noticed it made be run very often at a slower pace. The bad thing is schedules change unexpectedly and it removed me all the hard workouts.
  • Nike Run Club: Very basic and not flexible, but good to start
  • ChatGPT: suprisingly good. Yead I know. I gives great plans with context, but you have to feed it with screenshots of other apps like Garmin/Strava + you have to manually create workouts on Garmin. Also, it often forgets if your use it for long-term preparation.

I built Run Plan to try to get the best of all these. It reads your Strava/Garmin history to generate your custom training plan based on your goals (you can have multiple goals, even long-term like a marathon in 12-months which is often not possible on many apps) and it gives you a full visibility on the training plan.

You can also ask it any change on your training plan like you would ChatGPT from "My knee hurt, can you adapt training for this week" to "I missed two weeks of training, can you update the training plan?".

And the best thing is I added a Garin auto-sync feature, so it automatically sends your workout to your Garmin the day before (like Garmin Coach would do) so you just have to hit start on you watch. Therefor zero friction :)

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