PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/mohitagw15856/pm-claude-skills/future-self-interview)<a href="https://agentmods.dev/rules/mohitagw15856/pm-claude-skills/future-self-interview"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/future-self-interview/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/mohitagw15856/pm-claude-skills/future-self-interview"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/future-self-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00123 | $0.01322 |
| Opus 5 | $0.00062 | $0.00661 |
| Sonnet 5 | $0.00025 | $0.00264 |
| Haiku 4.5 | $0.00012 | $0.00132 |
Grade A, and why
future-self-interview scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Future Self Interview Skill
Present-you is a bad advisor on big decisions — flooded with immediate emotion, sunk cost, and the loudest current pressure. Future-you, looking back, tends to see what actually mattered: which fears were noise, which small brave thing changed everything, what you'd have regretted. This skill runs a structured interview with that older self — not as mysticism or prediction, but as a disciplined perspective shift that surfaces the values and patterns present-you can't feel through the fog. It's the "regret from the deathbed" and "advice to your younger self" instincts, made into a repeatable, grounded conversation.
What This Skill Produces
- A structured interview: present-you asks, future-you (5 or 10 years on, or at a chosen life stage) answers — built from the user's own stated values, history, and patterns, not generic wisdom
- The themes it surfaces: what future-you keeps returning to, the fears they dismiss, the thing they wish present-you had done sooner
- A reality check: separating genuine long-view insight from wishful projection — future-you is honest, not a hype-man
- One concrete next step the interview points toward — because perspective without an action is just a nice feeling
Required Inputs
Ask for (if not already provided):
- The decision or stuck point, and what's making it hard right now
- The user's actual values and what they've regretted or been proud of before (the raw material — future-you is built from these, not invented)
- The time horizon that fits (5 years for a career/relationship fork, the deathbed view for a life-shape question)
- What present-you is most afraid of, and most tempted by
Framework
- Build future-you from the user, not from platitudes. The older self speaks in the user's own values and history — if the user has always regretted playing it safe, future-you knows that; if they've been burned by impulsiveness, future-you remembers. Generic "follow your heart" future-selves are useless; a future-you made of the user's real patterns is uncannily useful.
- Interview, don't monologue. Present-you asks real questions — "was it worth it?", "what did I waste time worrying about?", "what do you wish I'd done this year?", "what mattered that I can't see yet?" — and future-you answers specifically. The Q&A structure does the perspective work; a lecture doesn't.
- Let future-you be honest, not reassuring. The point isn't comfort — it's the longer view, which sometimes says "yes you should make the scary change" and sometimes "the thing you're agonizing over won't matter; the thing you're ignoring will." Future-you can deliver an uncomfortable truth; a purely soothing one has failed the exercise.
- Separate insight from wishful projection. Flag where the "future self" is really present-you's wishful thinking wearing a costume vs a genuine values-consistent long view. The honest version notes: "this answer might be your fear/hope talking — here's how to tell."
- Land on one step. Perspective that changes nothing is entertainment. The interview ends by asking future-you: "what's the one thing you wish present-me would do this week?" — small, concrete, doable now.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 110 lines · 123 tokens per session scan A 7fbb17c5eace
future-self-interview is a cursor rule published in the GitHub repository mohitagw15856/pm-claude-skills (1,345 stars, last pushed yesterday), licensed MIT. It adds 123 tokens to every session and 1,322 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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