Anyone know of a way to integrate the GHL calendar to an external calendar (for the bookings created by the bot) without the need to get the client to have a log in and sign into their Google / outlook calendar? Maybe a one time sign in link or something? Previously had a client who went in an deleted conversations between the bot and lead so I don't trust them now and want to keep them out of the subaccount as much as possible.

Getting a lot of questions across various communities about cleaning up the .md junkyard. /audit skill is a routine check before I end my sessions to clean up junk/stale files/orphaned code. /audit is a safety check. i have a habit of running it before shipping a change, so a mistake gets caught before it reaches real users, not after. It looks for two different kinds of problems: things that will break, and things that are just messy (leftover junk that confuses people later). How it works It has two parts. Part 1, before deploying, it asks three simple questions about the change: 1. What's the fastest way this could break? 2. Did we actually prove it doesn't break that way, or are we just complacent? 3. If it does break anyway, how fast would we find out, seconds, minutes, or not until someone complains? Part 2, (assisting with eyeballing) after making a change, it searches the whole codebase for leftovers: 1. old code nobody uses anymore 2. documentation that no longer matches what the code actually does 3. the same rule written in two different places (which quietly drift apart over time) 4. Everything it finds gets written down in a dated report, so there's a record Why it matters 1. Without this check, a broken change can go live and nobody finds out until it's already failing for real people. 2. Small messes don't stay small. Dead code and outdated docs pile up quietly, and eventually someone trusts something that isn't true anymore. (You need to know your code is trustworthy, imagine making an important code decision based on a junkyard .md file, man! the consequences) How it benefits 1. Fewer surprises in production, catching problems before they ship, not after. 2. The codebase stays trustworthy to read, what the docs say actually matches what the code does. 3. Nothing gets fixed "from memory." Every finding is written down, so it can be checked, tracked, and followed up on later. Measured impact 1. Each with its own dated report. (Can't escape audit logs) 2. Several real problems were found and fixed in the same pass: dead checks removed, broken doc references corrected. (Saves time) 3. Honest limit: not everything it finds gets fixed right away. Some things get flagged and pushed to a to-do list instead of cleaned up on the spot, so it's a good detector, and intentionally so, not a guarantee of a clean result. (Imagine Claude deleting a critical .md file)

Most agency owners walk into a pitch and empty the medicine cabinet on the table. Chatbots, voice AI, workflow automation, reputation management, database reactivation… They showed up with ONE headache… And you're asking them to self-diagnose and choose between six different pills. That's a FAST way to kill a deal. They don't know what they need. They just know something HURTS. So your job is to find the thing that's bleeding… and stop the bleeding. Now… 𝐇𝐨𝐰 𝐝𝐨 𝐲𝐨𝐮 𝐩𝐢𝐜𝐤 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐩𝐚𝐢𝐧 𝐭𝐨 𝐬𝐨𝐥𝐯𝐞? Find the problem closest to REVENUE. When a biz owner sees revenue show up that wasn't there before… You stop being a “vendor” and start being a partner. And partners get asked to solve MORE problems (and get paid better) Here’s a quick example: Say you're talking to a dental clinic. They've got a database full of past customers who came once… got some great work done… and then vanished. Nobody followed up. Nobody invited them back. That’s just money sitting in a CRM collecting dust. So you lead with database reactivation. “Let me wake up the customers you've already paid to acquire” This is a 𝐩𝐚𝐢𝐧𝐤𝐢𝐥𝐥𝐞𝐫. It’s urgent as hell. And best of all: measurable in REAL dollars. Now once those customers start flowing back in… We can start to poke around… ask questions to figure out… “Reviews are outdated…” → reputation management. “Website enquiries aren't getting answered fast enough…” → live chat. “We're missing after-hours calls…” → voice AI. Do it this way and… You don’t have to PITCH four services. You solved ONE problem… and the result EXPOSED the next bottleneck. That's the difference between a pushy vendor with a laminated menu… and the person they call every time something breaks. 𝐁𝐞𝐟𝐨𝐫𝐞 𝐲𝐨𝐮𝐫 𝐧𝐞𝐱𝐭 𝐩𝐢𝐭𝐜𝐡, 𝐦𝐚𝐩 𝐭𝐡𝐫𝐞𝐞 𝐭𝐡𝐢𝐧𝐠𝐬: 1) What's the ONE problem closest to revenue? That's your painkiller. The ONLY thing you pitch. 2) If you nail that… what bottleneck likely surfaces next? 3) And what does solving THAT expose? Now you've got a sequence… not a menu.

Can anybody tell me how to get tech support? Thanks in advance!

Everyone who builds using Claude Code will experience this, countless .md files generated... and then nothing cleans it up and it just adds to the already existing mess, which just adds more work Sharing a system I built for those who starting out, and for the experienced claude code users, please roast my skill I created a skill called "/predict" here is what it does, based on countless hours of trial and errors A pre-build checklist skill, it runs before Claude creates a new file, skill, or structural config change, never after. Core idea, borrowed from Karl Popper: " if you can't prove wrong, you can't prove right either. If you can't say what would make this fail, you're building on a guess." Skill analyses and concludes in one of two verdicts: PROCEED (build it, only after every question is answered specifically) or PRUNE (don't — either the concept isn't ready or it isn't needed). The 9 questions, in order 1. Hypothesis — one sentence: what does this thing actually do? 2. Metric — the specific, already-measurable (or explicitly-to-be-built) thing you'll track. 3. Threshold — what number/outcome counts as success, and what counts as failure — both, decided before you look at results. 4. Trigger — when do you check? (an event you can count is better than a date on a calendar) 5. Sunset criterion — what observed result would make you delete this thing? (the most important one — skip this and the thing becomes permanent by default) 6. Does it improve the core capability, or just narrow what gets processed? — improving the capability is good; quietly excluding a chunk of inputs to dodge the hard part is not, unless what's excluded is provably not real work. 7. Ship-metric link — if you hit your metric, what does that actually mean for the real outcome the user cares about? ("proxy only, no link yet" is an allowed answer — leaving it blank is not.) 8. Second-order effect — if this succeeds, what does it unblock, what new bottleneck does it create, and what does it rule out? 9. Diagnostic path — if it fails, what's the very first thing you'd check to find out why?