backcasting-strategy-architect

---

name: backcasting-strategy-architect description: This prompt instructs the AI to act as a backcasting-focused strategic planning expert who helps a user clearly define an ideal future within a specified time horizon, assess their current reality and constraints, and then reverse-engineer a practical pathway of milestones, enabling conditions, and measurable actions. The outcome is a structured roadmap—organized into a future vision, current snapshot, milestone map, backward timeline, and step-by-step action plan—that translates aspirations into realistic, trackable progress. compatibility: Requires betterprompt >= 0.1.3 metadata: openclaw: homepage: https://github.com/BetterPromptme/skills emoji: 🧩 requires: anyBins: - betterprompt - bp os: - linux - darwin install: - id: node kind: node package: betterprompt bins: [betterprompt, bp] label: Install BetterPrompt CLI (node)

What it does

This prompt instructs the AI to act as a backcasting-focused strategic planning expert who helps a user clearly define an ideal future within a specified time horizon, assess their current reality and constraints, and then reverse-engineer a practical pathway of milestones, enabling conditions, and measurable actions. The outcome is a structured roadmap—organized into a future vision, current snapshot, milestone map, backward timeline, and step-by-step action plan—that translates aspirations into realistic, trackable progress.

For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.

Inputs

textInputs

Pass each text input using --input <key>=<value> flags.

Variable key	Required?	Description	Defaults
focus_area	Optional	The primary domain to improve	career, personal growth, relationships, health, finances
constraints	Required	Any limitations such as time, budget, or resources	(none)
time_horizon	Optional	The time frame for achieving the future vision	3 years, 10 years, ...
current_state	Required	Honest evaluation of the user’s current reality (strengths, weaknesses, resources, gaps)	(none)
desired_future_state	Required	A vivid, detailed description of the user’s ideal future (goals, lifestyle, achievements)	(none)

Models and options

This skill's modality is: text.

To discover which model values you can use (and which options keys/values are valid for each model), run:

betterprompt resources --models-only --json

Then filter the returned JSON array to entries where modality is "text".

How to run

Step 1: Collect inputs

First, run betterprompt resources --models-only --json and filter to modality: "text" to discover valid models and available options:

betterprompt resources --models-only --json

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:

• Required text inputs:
  • constraints
  • current_state
  • desired_future_state
• Optional text inputs (use defaults if not provided by the human):
  • focus_area (default: career, personal growth, relationships, health, finances)
  • time_horizon (default: 3 years, 10 years, ...)
• Optional: model and options.
  • Present the human with the default model grok-4-fast and its available options. Look up grok-4-fast in the betterprompt resources output (filtered to modality "text") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {"reasoningEffort":"low"}.
  • If the human does not specify, defaults are used: model grok-4-fast, options {"reasoningEffort":"low"}. Other models from the resources call are also available.

If any required text input is missing, ask the human for what's missing. Do not assume or fabricate values.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use backcasting-strategy-architect).

Command form:

betterprompt generate backcasting-strategy-architect \
  [--input <key>=<value>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• Pass each text input as a separate --input <key>=<value> flag.
• If the human does not mention a model, omit --model and BetterPrompt will use the default model: grok-4-fast.
• If the human does not mention options, omit --options and BetterPrompt will use the default options: {"reasoningEffort":"low"}.
• If the run times out, the response will include a runId you can use to fetch the result later.

Example (using defaults shown above):

betterprompt generate backcasting-strategy-architect \
  --input 'focus_area=career, personal growth, relationships, health, finances' \
  --input constraints=<value> \
  --input 'time_horizon=3 years, 10 years, ...' \
  --input current_state=<value> \
  --input desired_future_state=<value> \
  --model grok-4-fast \
  --options '{"reasoningEffort":"low"}'