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“Isometric Tiny Office Diorama”
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prompt
Write a blameless post-mortem.
INCIDENT: {what_broke}
WHEN: {date_and_time_window}
IMPACT: {users_affected, revenue_loss, SLA_breach}
WHO RESPONDED: {team / on-call}
FORMAT:
Text
prompt
Write a LinkedIn post about: {what_you_want_to_say}
MY ROLE: {your_role}
MY VOICE: {sharp, dry, no emojis, no "agree?"}
FORMAT:
- Hook (1 line — controversial, counter-intuitive, or oddly specific)
- Short paragraphs, line breaks for rhythm
prompt
Draft a quarterly OKR set.
COMPANY OR TEAM: {who}
THE ONE BIG BET FOR THIS QUARTER: {bet}
LAST QUARTER'S RESULTS: {what_went_well_and_what_didnt}
CONSTRAINTS: {team_size, budget}
PROPOSE:
Text
prompt
Convert my raw meeting notes into a clean follow-up.
NOTES:
```
{paste_raw_notes}
```
ATTENDEES: {names}
Text
prompt
Write a Conventional Commit message for this change.
DIFF / CHANGE SUMMARY:
```
{paste_diff_or_description}
```
FORMAT:
Text
prompt
You are an SEO content strategist. Write a blog-post outline targeting this query:
TARGET KEYWORD: {target_keyword}
INTENT: {informational / transactional / navigational / commercial}
MY ANGLE / UNIQUE POV: {your_unique_take}
WORD COUNT TARGET: {1200 / 1800 / 2500}
OUTPUT:
prompt
Draft a monthly investor update.
COMPANY: {company}
MONTH: {month_year}
NORTH STAR METRIC: {metric_name} = {current} (was {prior})
KEY WINS: {3_bullets}
LOWLIGHTS: {2_bullets — be honest}
WHAT WE'RE FOCUSED ON NEXT 30 DAYS: {3_bullets}
Text
prompt
Write Google search ads for: {what_you_sell}
TARGET QUERY: {keyword_phrase}
INTENT: {commercial / transactional}
USP: {one_sentence}
LANDING PAGE PROMISE: {what_they_see_after_click}
GIVE ME 3 AD GROUPS, each with:
Text
prompt
Apply the RICE framework (Reach, Impact, Confidence, Effort) to score these candidate features.
CANDIDATE FEATURES:
{list_of_features_with_1_line_each}
FOR EACH, ESTIMATE:
- **Reach**: # of users impacted per quarter
- **Impact**: 0.25 (minimal) / 0.5 / 1 / 2 / 3 (massive)
prompt
Act as an experienced startup advisor with 20 years in venture capital and product launches. I want to validate the following project idea before I invest time and money.
Project: {project_idea}
Target audience: {target_audience}
My background: {your_background}
Please analyze
Text
prompt
Act as a GTM leader who has launched 4 SaaS products from 0 → $1M ARR.
MY PRODUCT: {what_it_does}
ICP: {who_buys_and_why}
BUDGET FOR FIRST 90 DAYS: {budget}
Give me a 90-day GTM plan with:
- **Week 1-2**: Setup (channels, tracking, lead capture)
Text
prompt
Write a conference talk proposal.
MY TOPIC: {topic}
THE CONFERENCE: {conference_name_and_audience}
WHY I'M THE RIGHT PERSON: {your_credential_or_unique_perspective}
THE TALK FORMAT: {30_min / 45_min / lightning_5_min / workshop}
DRAFT:
Text
prompt
Write a networking message.
WHO I'M MESSAGING: {their_role_and_company}
HOW I FOUND THEM: {LinkedIn / talk / referral / their_writing}
WHAT I ACTUALLY WANT: {advice / intro / job_lead / no_specific_ask_just_relationship}
WHAT I CAN OFFER THEM: {something_real_or_nothing_yet}
DR
prompt
Explain this concept three times, for three audiences:
CONCEPT: {what_you_want_to_understand}
**Level 1 — ELI5 (age 5)**
- A 4-sentence story or scene
- No jargon
- One concrete metaphor
Text
prompt
Write an Architecture Decision Record.
DECISION: {what_youre_deciding}
CONTEXT: {when_does_this_decision_apply}
ALTERNATIVES CONSIDERED: {2-4_alternatives}
MY LEAN: {your_current_preference}
FORMAT (standard ADR):
Text
prompt
Generate a production Dockerfile.
LANGUAGE/RUNTIME: {language_and_version}
FRAMEWORK: {framework}
DEPENDENCY FILE: {package.json / pyproject.toml / go.mod / etc}
START COMMAND: {how_to_run_locally}
RULES:
Text
prompt
Build a 30-minute 1-on-1 agenda with my manager.
MY ROLE: {role}
MY MANAGER'S STYLE: {hands-off / detail-oriented / supportive / demanding}
BIGGEST OPEN ISSUE: {what_you_actually_want_to_talk_about}
MY CAREER GOAL THIS YEAR: {ambition}
FORMAT:
Text
prompt
Design a survey to answer: {research_question}
AUDIENCE: {who_is_taking_it}
TARGET RESPONSE COUNT: {n}
MAX TIME TO COMPLETE: {minutes}
WRITE 8-12 QUESTIONS THAT:
- Mix closed (Likert, multi-select, ranking) and ONE open-ended
Text
prompt
You're an expert in customer discovery, trained on Rob Fitzpatrick's Mom Test methodology.
Generate a 20-minute customer interview script for someone evaluating: {your_idea}
RULES:
- Never ask 'would you use this?' or 'would you pay?'
- Only ask about past behavior, not hypothe
Text
prompt
Synthesize the sources below into ONE coherent view, with attributed claims.
SOURCES:
```
{paste_source_1}
```
```
Text
prompt
I'm about to present this idea: {your_idea_or_position}
AUDIENCE: {who_will_push_back}
WHAT I'M HOPING THEY'LL DO: {agree / fund / approve / hire / change_their_mind}
PREPARE ME FOR THE STRONGEST PUSHBACK:
1. **The 5 most likely objections**, ranked by likelihood
2. For each: t
prompt
Write 8 headline variants for testing.
WHAT IT SELLS: {product}
AUDIENCE: {who}
PRIMARY KEYWORD: {keyword}
CURRENT HEADLINE: {current_if_any}
GENERATE 8 OPTIONS, EACH USING A DIFFERENT FORMULA:
Text
prompt
Write my resignation letter.
MY ROLE: {role}
MY COMPANY: {company}
LAST DAY: {date}
THE REAL REASON I'M LEAVING (private context): {real_reason}
WHAT I WANT TO PRESERVE: {the_relationship / future_referral / reputation}
HOW MUCH NOTICE I'M GIVING: {two_weeks / one_month / longer
prompt
Run a PESTLE analysis for: {industry_or_company}
GEOGRAPHIC FOCUS: {country_or_region}
TIME HORIZON: {12_months / 3_years / 5_years}
FOR EACH OF THE 6 LENSES, GIVE:
- **Political**: 2 forces shifting the regulatory or political environment
- **Economic**: 2 macro factors (rates
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