Client Onboarding Planner
Turn a new client's answers into a capacity-checked plan, an access list, a scope check and a kickoff email.
- Claude
- ChatGPT
- Gemini
Library
118 items across 7 job packs. Free items show their full text; paid items show what they do, when to use them and an example.
Turn a new client's answers into a capacity-checked plan, an access list, a scope check and a kickoff email.
A short, honest 3-email cold sequence written in full from your offer and the recipient's problem: a specific opener, a new reason to reply in email 2, a different easy question each time and a polite close.
Sort your week into keep, delegate, automate and delete, set each handoff's authority, and brief the three biggest.
Check each CV against your must-haves, score it with a quote per score, and add interview questions with what good answers include.
Project instructions for a recurring meeting: decisions with the line that shows agreement, owned actions, repeat topics turned into a forced choice, and a five-line update.
Find where an offer loses buyers, then commit to one offer, a three-tier price ladder, an affordable guarantee and a kill number.
One pricing question per session, answered with a cost floor, the buyer's alternative, one price and a five-proposal test.
A retro, an hour budget corrected by your real completion rate, three objectives with weekly checks and a stop-doing list.
Turn a voice note about a process into an SOP a new hire can follow, with a countable check and [CONFIRM] marks, not guesses.
Turns your notes on the week (or a five-question interview) into a WEEK FILE under 200 words: your numbers against last week, a decision for each time drain, last week's focus checked, one focus and protected time.
Compare five weekly numbers with your log, separate real change from noise, split it into drivers and set one task.
Reviews a contract from your side, explains each risky clause for your situation with its numbers, and gives replacement wording and a ready-to-send message, ranked by priority.
Drafts replies in your voice that answer every question, follow-ups that add something new at each step, and clear, kind declines.
Turns one meeting or a full day of meetings into a decision register with quotes, owned commitments, conflicts, follow-up messages and the next agenda.
Designs the reference files, instructions and test questions for a ChatGPT Project, Claude Project or Gemini skill, so answers come from your material instead of drifting.
Moves a prompt, skill or API call to DeepSeek, Qwen, GLM or Kimi with the right model, effort and parameters, then checks three real inputs side by side before you switch.
Red-teams a plan before you commit: the assumptions it bets on, how it fails, the cheapest test for each risky assumption, tripwires and a verdict.
Turns a big, vague goal into milestones and 25-50 minute tasks, with other people's input requested first, a finish estimate and one next action.
Join today's conversation on X about your topic with one ready-to-post post chosen for your goal, one or two alternatives on other angles, the fact behind each, and an honest call on whether to post at all.
Landing page copy shaped by where your visitors come from: hero, problem, how it works, proof slots, objections and offer in under 450 words, with every unconfirmed fact bracketed where it appears.
Turn one keyword into a brief a writer can work from without a call: new, update or skip verdict, intent, a provable angle, and an outline that says what every section must explain, prove and link to.
Ten first lines for one X post, ranked, each with the promise the post then has to keep, plus the two to test against each other and two closing questions.
A 30-day X plan built on proof you already have and the minutes you really have, with week 1 written out and weekly rules for what to keep or drop.
Turns X posts, reviews or support tickets into your market's own words: ranked pains with quotes, needs, workarounds, vocabulary and hooks.
Turns your own writing samples into a reusable voice card, then rewrites a draft in your voice and shows that every fact survived.
Paste competitors' homepages and get their positioning taken apart with quotes, the claims you still have to match, and one open position you can prove and test.
Adapts your text for one language and country, then gives you a back-translation, a change log, risk flags and a glossary so you can check it without reading the language.
Decides whether a breaking story is worth your post, then drafts one that adds what only you know, worded to match how solid the facts are.
Finds out from your Search Console numbers why a page lost clicks, then gives a keep, update, merge or redirect decision with a short, ordered edit list.
Finds out from your own numbers why your X reach or engagement fell, then gives a 14-day plan that changes one thing at a time.
Turns your notes into an X thread built around its payoff, with honest hooks, a post-by-post check and three standalone posts to reuse.
Paste a figure and how it was worked out; get a verdict (correct, wrong or can't confirm), an independent recalculation, the first wrong step and the corrected number.
Paste a small dataset and the decision you face; get a direct answer for your decision's period, every option side by side, the data problems found and a first step with a justified success threshold.
Turn a long contract, report, policy or transcript into one fixed table of parties, deadlines, obligations, numbers, automatic effects and contradictions, each with a clause or page anchor.
Scattered documents in, one sourced timeline out, with conflicts, gaps and the deadlines that follow from the record.
Turns a hard decision into a one-page memo: the real decision, options including waiting, the assumption that would flip it, a recommendation and tripwires.
Turns hundreds of pages of deal documents into a risk-ranked first-pass brief with page citations, mismatched figures and the questions to ask the seller.
Turns a syllabus, an exam date and your free hours into a plan that spends time where the marks and your weak spots are.
Finds the errors in a financial model that change the numbers people decide on, with exact cells, corrected formulas and recalculated impact, and says what they mean for the raise, loan or budget.
Separates real constraints from habit in a costly process or product, rebuilds it from the constraints, and ends with the cheapest test.
Finds contradictions, gaps and ambiguous wording in rule sets and policies, and solves logic puzzles with a cited, checked deduction.
Turns several documents on one topic into an evidence map: real agreement, conflicts and why they differ, gaps, and a one-page brief.
Finds the first wrong line in your maths working, or writes a solution or proof at your course's level, and checks it a second way.
Turns a vague question into a decision-ready research brief, then checks the research that comes back before you rely on it.
Reads a full paper like a careful reviewer: what was shown versus claimed, the absolute effect, the weak spots, and an evidence grade.
Teaches any topic by asking one targeted question at a time and re-teaching only what your answer shows is missing.
Turns a plain-language goal into a working Excel or Google Sheets formula for your real columns, with three test rows to prove it works.
Checks a statistical claim or chart against the traps that most often mislead, recalculates it, and rewrites it in one honest sentence.
Reads a whole book and extracts the author's system for your goal: thesis, mechanisms, weak spots and five actions for this week.
Fill-in instructions for a ChatGPT Project that keep the assistant on one job, in one answer shape and grounded in your project files, plus the steps to turn the same text into a skill you can share.
A fill-in CLAUDE.md that tells a coding agent your stack, your exact commands, what needs your approval and how to report each task, so it stops adding packages and reporting passes it never saw.
Paste one file or change and get a merge call, real defects ranked by impact with the input that triggers each, fixes re-checked against every finding, and what the reviewer still needs to see.
Paste a Custom GPT's configuration and get its replacement: cleaned Project instructions, a plugin-ready SKILL.md, a knowledge-file map, a parity test and a cutover checklist.
Answer five questions in chat and get one AGENTS.md that every coding agent reads, plus thin CLAUDE.md and Cursor rule files only where you need them, with every rule checkable against a diff.
One AGENTS.md that every coding agent reads, plus your repeated procedures turned into starter skills in the folders each agent loads.
Turns a problem and its limits into an algorithm that provably fits them, with an invariant, a hand trace and a brute-force comparison test.
A two-page onboarding guide to an unfamiliar repo that separates what the code shows from what is guessed, ending with a safe first change.
Converts saved Custom GPT configurations into ChatGPT Projects or plugin-ready skills, with a parity test against the old GPT and a cutover checklist.
From hand-merged exports to a re-runnable pipeline whose report totals tie back to the source files, with checks that stop bad data.
Explore first, pin current behaviour with tests, then make the smallest reviewed change in code nobody fully understands.
A merge verdict on a diff, judged against your repo's own rules, with a trigger and a fix for every blocker and a list of what the diff is missing.
AGENTS.md, CLAUDE.md and Cursor rules written from the code that is actually in your repo, with evidence for every convention and commands that actually run.
A refactor plan made of small steps that each keep the system working, with the behaviour contract and the first tests to write.
Runs a scoped refactor in your coding agent: every instance counted first, one shown for approval, no drive-by edits, real test output at the end.
A disciplined search for the real cause of a bug, with the cheapest test for each suspect and no fix until the cause fits in one sentence.
Turns an idea or a repeated chat routine into one SKILL.md that triggers on the right requests, with a test set you run before sharing it.
Bundles finished skills into a Claude Code or ChatGPT/Codex plugin and audits collisions, conflicts, secrets and installs before anyone else uses it.
A feature idea becomes a spec with testable acceptance criteria, a data model and an API contract, and the brief's contradictions spelled out.
Your acceptance criteria become failing tests you approve first; the agent then implements until they pass, with no silent test edits.
Write the short standing brief that Lovable or Bolt reads with every prompt, so the builder keeps your rules and stops repeating the same mistakes.
Turn a rough app idea into one spec that Lovable, Bolt or Cursor can build from without guessing: every stated need kept, every rule numbered, every record's lifecycle defined, every gap decided and marked.
Turn a messy list of changes for a Lovable or Bolt app into small prompts in a safe order, each naming what to change, what must stay and how to check it.
Writes Bolt prompts that connect AI, email, maps or any other non-payment API with the key on the server, cost caps, failure handling and a test prompt.
An evidence-based audit of an AI-built app: ranked issues with reproduction steps, fix prompts with acceptance checks, and a ship or no-ship verdict.
Designs a Lovable app's tables, constraints and row level security rules before the pages exist, with a migration template and a two-user test plan.
Writes Lovable prompts that replace default styling with one central design system, refine each page with every state designed, and keep new pages consistent.
Turns a Bolt bug into a scoped debug prompt with a likely cause to confirm first, plus the follow-up prompts for every outcome.
Plans a new Bolt build as a stack lock plus an ordered prompt sequence with a check after every step and a coherence audit every three prompts.
Turns the pre-launch checklist into Plan-mode audits, Build-mode fixes and checks you do yourself, so a working Lovable demo becomes an app real users can rely on.
Sets up routing, access, state and layout for a 5 to 15 page Bolt app, then builds every page from one reference page.
Turns an app idea into an ordered set of Lovable prompts for a weekend MVP, each with a preview check, with every requirement kept, permission and limit checks, and a launch block.
Writes the Bolt prompts and the go-live test matrix for Stripe or Paddle payments where only a verified webhook grants access and refunds take it away.
Maps what survives, changes and goes in an existing Lovable app, then writes the prompt sequence that turns it into the new product without losing users or data.
Name the feeling your product video needs and get five camera moves ranked for that product, with how each one breaks, the guard against it and a paste-ready prompt.
Turn one scene idea into four clips that cut together: one action per clip, lengths your tool offers, every subject described in full, guards against the usual failures and a paste-ready prompt per clip.
Write one Veo clip where people talk: lines cut to fit the clip length, a clear speaker for every line, timed beats and layered sound, plus checks for the result.
One product, ten different ad ideas checked against what AI video can render, ranked, and the winner written as ready prompts.
A matching b-roll library sized to your voiceover, with one look, audio that stays out of the way and a map from script lines to clips.
A short brand film with a real story: style lock, scene prompts sized to your model, a sound plan and a test-first generation order.
Camera moves chosen by the feeling each story beat needs, arranged so the energy builds on purpose, with prompts placed the way your model reads them.
One frozen character description, a reference setup for your model and a drift check per clip, so the same person appears in every scene.
A two-person conversation as Veo shots with native audio: lines sized to each clip, shot-reverse-shot coverage, steady voices and room tone.
A character's emotional turn in Kling, written as visible cues, kept small, and staged as a timed long take or a short multi-shot.
A lookbook film in Runway: the same model across looks, fabric that moves like fabric, and colourways edited from one approved shot.
Runway image-to-video planned frame first: keyframe prompts with one style block, motion-only prompts for Gen-4.5, and a clear rule for which to fix.
Background swaps in Runway Aleph 2.0 that match the subject's light, previewed as a still first, with a checklist that catches what makes a composite look fake.
Product, food and fashion shots that read as photographed: believable imperfections, motivated light, lens character, and a check against the real product.
Five openers for a product ad that move from frame one, keep the product recognisable, and hand off cleanly into the rest of the ad.
Transitions planned inside the clips: paired prompts with matched direction and speed, a marked cut point, and each model's tools for joining shots.
Test eight to ten settings cheaply, score them on how a person would look there, and turn the winner into a brief that keeps every later shot in the same place.
Slow, quiet sequences that make a product feel expensive: four restrained moves, long enough clips, empty space, one light, and sound before music.
Action prompts for Kling that describe weight, contact and material behaviour, with a checklist and a fix for each way the motion usually fails.
A whole mini scene as one Kling or Seedance generation: shots that fit the time, characters defined once, dialogue in the model's markup and a check per shot.
A song mapped to Runway clips: a look per section, clip lengths counted in bars, motion that is easy to cut on the beat, and the arithmetic checked.
Five product shots whose materials behave like the real thing, with a reference plan, a failure to watch per shot and two cut lengths.
A product rotation in Kling planned around what your photos show, with material wording, a lighting lock, a five-angle set and a check against the real product.
Make only chosen parts of a still move in Runway Gen-4.5, with a stillness list that keeps faces and walls put and fixes for the usual failures.
Your script or storyboard as a shot plan with film grammar, continuity, sound and paste-ready prompts, so separate clips cut into one scene.
One five-line style block, checked on three different subjects and tightened from your feedback, so a whole series looks like one director made it.
A 9:16 ad for TikTok, Reels or Shorts in Kling with three testable hooks, one shared body, safe-zone framing, honest claims and a test plan.
Plan a 6-12 image FLUX.2 product series that looks like one shoot: reference plan, frozen product sentence, locked style block, shot list and a two-image drift check before you generate the rest.
Turn a messy list of image changes into ordered one-change edit passes, each with a keep-the-rest prompt, the details most at risk and a check, plus a stop rule before the image degrades.
A reusable dark-and-gold style block for premium product shots that keeps light, scale and camera height identical across a whole series.
Get posters, thumbnails and social cards whose text actually renders: copy cut to fit, a layout spec, a model-ready prompt, a blank fallback and a proofreading list.
Plan ad and social image variants around one test variable, with a shared lock block, safe areas per format and a pre-flight check, so the results tell you something.
Build a five-shot listing set from your real product photos with GPT-Image 2.5, with a fidelity lock and a side-by-side check so the product stays the one buyers receive.
Turn a few reference images into a calibrated Midjourney V8.2 style card: one suffix, one style sentence and a drift check the whole team reuses.
Combine product, character and scene photos into new Nano Banana images that keep identities intact, with a reference map, edit passes and an identity check.
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