ai-tool-picker

name	ai-tool-picker
description	Figure out which AI tool actually fits the task in front of you — chatbot, coding assistant, image model, agent, or none — instead of forcing one tool onto everything. Use when asked which AI tool should I use for, what's the best AI for, do I even need AI for this, or should I use ChatGPT or something else. Produces a match between your task and the right kind of AI tool (with why), the trade-offs that matter for your case, when the answer is a non-AI tool or plain human effort, and how to try it cheaply before committing — so you pick by fit, not by hype or habit.
homepage	https://mohitagw15856.github.io/pm-claude-skills/skill/ai-tool-picker.html
metadata	{"openclaw":{"emoji":"🧠"}}

AI-Tool Picker

Most people reach for the one AI tool they know and force every task through it — or freeze because there are a hundred options and endless hype. The right question isn't "what's the best AI tool," it's "what kind of tool fits this task." This matches your task to the right category of AI (or none), names the trade-offs that actually matter for your case, and shows how to try it cheaply — so you choose by fit, not by marketing.

What This Skill Produces

• The task-to-tool match — which category of tool fits (conversational assistant, coding assistant, image/video model, research agent, automation, specialized app) and why
• The trade-offs that matter for you — the 2–3 dimensions that actually decide it for this task (accuracy, privacy, cost, speed, integration), not a generic feature grid
• The "you don't need AI for this" call — when a non-AI tool or plain human effort is genuinely the better answer
• A cheap way to try it — how to test the fit with a free tier or a small task before committing time or money
• A shortlist, not a lecture — a couple of concrete options in the right category, chosen for your constraints

Required Inputs

Ask for these if not provided:

• The task — what you're actually trying to get done
• Your constraints — budget, privacy needs, where it has to fit (a workflow, a tool you already use)
• Your current tools — what you already have access to (often the answer's already in your pocket)
• The stakes — one-off vs recurring, low-stakes vs must-be-right

Framework: Fit The Task, Not The Hype

1. Name the task shape. Is it generation, transformation, research, decision support, or automation? The shape points to the tool category far better than brand names do.
2. Pick the category first. Match the shape to a kind of tool (assistant, coding, image, agent, specialized) before naming any product — categories are stable, products churn.
3. Find the 2–3 deciding trade-offs. For this specific task, what actually decides it — accuracy, privacy, cost, speed, integration? Ignore the dimensions that don't matter here.
4. Check if AI is even the answer. Some tasks are better done by a non-AI tool, a template, or ten minutes of human effort — say so when it's true.
5. Recommend a cheap test. Suggest trying the fit on a small real task via a free tier before investing — fit is revealed by use, not spec sheets.

Output Format

Tool for: [the task]

Task shape: [generation / transformation / research / decision support / automation]. Right category: [conversational assistant / coding / image / research agent / automation / specialized] — because [reason]. Deciding trade-offs for you: [the 2–3 that actually matter here]. Shortlist: [a couple concrete options in that category, fit to your constraints]. Or skip AI: [when a non-AI tool / human effort is the better call — if applicable]. Try it cheaply: [free tier / small test task before committing].

Quality Checks

• Identifies the task shape before naming tools
• Recommends a category, not just a trendy product name
• Names only the trade-offs that matter for this task
• Flags when AI isn't the right answer at all
• Suggests a cheap way to test fit before committing

Anti-Patterns

• Defaulting to the one tool the person already knows for everything.
• A generic feature comparison ignoring what matters for this task.
• Recommending AI where a non-AI tool or human effort wins.
• Chasing the hyped product over the right category.
• No cheap test — committing before verifying fit.

Example Trigger Phrases

• "Which AI tool should I use for editing my photos?"
• "What's the best AI for summarizing research papers?"
• "Do I even need AI for this, or is there a simpler tool?"
• "Should I use ChatGPT for this or something more specialized?"
• "There are too many AI tools — which one fits what I'm doing?"