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Transform weak resume bullets into achievement-focused statements with metrics and impact. Use when the user wants to rewrite bullets, strengthen accomplishments, or add action verbs and impact to their resume.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Persistent dietary safety layer for DoorDash CLI (dd-cli) ordering. Stores a personal/household dietary profile (allergens with severity tiers, diets, dislikes) that every cart is vetted against before checkout, with a deterministic tripwire — the vetting step saves the full cart contents to a vetted-cart dump, and a PreToolUse hook re-greps that dump against the anaphylaxis-severity allergen list before any checkout URL is allowed. Use when the user mentions allergies or dietary restrictions, when ordering food for someone with restrictions, or on every dd-cli cart flow while this skill is installed. A tripwire, not medical-grade — the human checkout page is the final check.
Group food ordering through the DoorDash CLI (dd-cli) from a persistent team roster. One request ("lunch for the team") fans out into a single merged cart with every line attributed to its eater via a person-to-cart-item-id ledger, per-person cost split with fee proration, payer rotation history, and a checkout gate that re-derives allergen conflicts against the roster live. Use when ordering for multiple people — team lunch, incident-response food, "collect orders from the thread" — or for /whose-turn payer rotation questions. Handles paste-a-thread intake: paste a Slack/chat thread and it builds the order ledger from it.
Accountability layer for agent-driven DoorDash ordering. Works with the doordash-audit-log hook (which appends every dd-cli invocation to an append-only audit log) and the /doordash-report command to answer "what has my AI been ordering and what did it cost" from data instead of memory. Use when the user asks about their DoorDash spending, ordering patterns, what the agent did in past sessions, or wants jq recipes for querying the audit log. Covers log schema, query patterns, rotation, and privacy guidance.
Named, context-bound saved DoorDash orders ("post-gym", "late-night deploy") recalled through the DoorDash CLI (dd-cli) with a mandatory cart-diff before any checkout link is handed over. Use when the user names a saved order ("order my post-gym bowl", "the usual", "my Friday ramen"), wants to save the order they just placed as a playbook, or asks to list/remove saved orders. Persists name→order-uuid playbooks across sessions, catches silent menu/price drift on every recall, and self-heals stale playbooks when a restaurant's menu changes. Requires dd-cli (macOS Apple Silicon, waitlist-gated).
Hard spending policy for agent-driven DoorDash ordering through the DoorDash CLI (dd-cli). Per-order ceiling, daily/weekly/monthly caps, cooldown between orders, and blocked hours — enforced deterministically by routing every cart-mutation and checkout through the dd-guard wrapper script, which prices the cart, checks the policy against a persistent spend ledger, and refuses out-of-policy checkouts with exit code 2. Use when the user wants budget limits on agent food ordering, asks "how much have I spent on DoorDash", wants to set spending caps, or whenever building carts / checking out with dd-cli while this skill is installed. Pairs with a PreToolUse hook that denies raw dd-cli checkout calls that bypass the wrapper.
Segment a SKU portfolio on value (ABC) and demand variability (XYZ), produce the 9-box with a planning policy per cell, and reallocate planner attention accordingly. Use when the user mentions ABC analysis, inventory segmentation, SKU rationalization, stok segmentasyonu, envanter sınıflandırma, or asks which items deserve forecasting effort. Differentiator - ABC alone is treated as half an answer; policy lives in the value x variability combination.
| name | resume-bullet-writer |
| description | Transform weak resume bullets into achievement-focused statements with metrics and impact. Use when the user wants to rewrite bullets, strengthen accomplishments, or add action verbs and impact to their resume. |
Use this skill when the user wants to:
Also use when you see weak bullets that need improvement (passive language, no metrics, vague descriptions).
Most resumes have weak bullets that list job duties instead of achievements:
❌ Weak Bullets (What NOT to do):
These are passive, vague, and don't show impact or results.
✅ Strong Bullets (What TO do):
These are active, specific, and quantify the impact.
Structure: "Accomplished [X] as measured by [Y] by doing [Z]"
Examples:
❌ BEFORE: "Managed social media accounts"
✅ AFTER: "Grew Instagram following by 250% (5K to 17.5K) by implementing daily content calendar and influencer partnerships"
X = Grew Instagram following by 250%
Y = 5K to 17.5K followers
Z = Daily content calendar + influencer partnerships
❌ BEFORE: "Improved customer service"
✅ AFTER: "Increased customer satisfaction scores by 40% (3.2 to 4.5/5) by redesigning support ticketing system and training 15 agents"
X = Increased customer satisfaction by 40%
Y = 3.2 to 4.5 out of 5
Z = Redesigned ticketing system + trained agents
Structure:
Example:
Full STAR story: "Inherited underperforming sales team (S) with 65% quota attainment. Tasked with improving performance within Q1 (T). Implemented new training program and revised commission structure (A). Achieved 92% quota attainment by Q2, generating $1.8M additional revenue (R)."
For resume bullet (condensed STAR): "Revitalized underperforming sales team through training program and commission restructure, improving quota attainment from 65% to 92% and generating $1.8M additional revenue"
Structure:
Example:
"Reduced customer churn (C) by implementing proactive outreach program (A), retaining 85% of at-risk accounts worth $500K ARR (R)"
Every bullet should have at least ONE number. Here's how to find metrics:
1. Money
2. Percentages
3. Time
4. Scale/Volume
5. Comparison/Before-After
Use estimation strategies:
Approximate with ~ "Improved performance by ~40%"
Use ranges "Managed team of 8-12 people" "Generated $50K-$75K in monthly revenue"
Use conservative estimates If you think it was 60%, say 50% If you saved 100 hours, say 75 hours
Quantify inputs if outputs unknown Can't measure revenue? Quantify activities:
Find related metrics Can't measure conversion? Measure traffic, engagement, or other funnel metrics
❌ WEAK:
✅ STRONG:
❌ WEAK:
✅ STRONG:
❌ WEAK:
✅ STRONG:
❌ WEAK:
✅ STRONG:
❌ WEAK:
✅ STRONG:
❌ WEAK:
✅ STRONG:
❌ WEAK:
✅ STRONG:
❌ "Was responsible for..." ❌ "Helped with..." ❌ "Assisted in..." ❌ "Participated in..."
✅ Use active verbs: Led, Created, Delivered, Achieved
❌ "Improved website performance" ✅ "Improved website load time by 60% (8s to 3.2s)"
❌ "Managed large team" ✅ "Led cross-functional team of 25 across 4 departments"
❌ "Responsible for customer support" ✅ "Resolved 50+ tickets daily with 98% customer satisfaction score"
❌ "Managed social media accounts" ✅ "Grew social media following by 300% (10K to 40K) in 8 months"
❌ "Worked with stakeholders" ✅ "Facilitated weekly meetings with 15+ stakeholders across engineering, product, and executive teams"
❌ "Improved processes" ✅ "Streamlined approval workflow, reducing cycle time from 10 to 4 days (60% improvement)"
❌ "Was responsible for managing and overseeing all aspects of the customer success function including onboarding, training, support, and retention for a portfolio of enterprise clients..."
✅ "Led customer success for 50 enterprise clients ($3M ARR), achieving 95% retention rate"
Rule: Keep bullets to 1-2 lines maximum
Original: "Managed social media"
Using X-Y-Z: "Grew Instagram and LinkedIn following by 260% (5K to 18K) by implementing daily content calendar and 15 influencer partnerships, generating 200+ qualified leads"
If too long, prioritize most impressive metrics: "Grew social media audience by 260% (5K to 18K followers) through content strategy and influencer partnerships, generating 200+ leads"
Every bullet should have:
When rewriting bullets, provide:
## BULLET IMPROVEMENTS
### Original Bullet #1:
"Managed customer accounts"
### Issues:
- Passive language ("managed")
- No metrics
- Vague (what does "managed" mean?)
- No results shown
### Improved Version:
"Grew portfolio of 40 enterprise accounts from $2M to $3.5M ARR (75% growth) through quarterly business reviews and proactive upselling strategy"
### What Changed:
- Added scale (40 accounts)
- Added growth metric (75%, $2M to $3.5M)
- Specified actions (QBRs, upselling)
- Shows business impact (revenue growth)
---
### Original Bullet #2:
[Continue for each bullet...]
Focus on:
Example: "Led university marketing club of 50 members, organizing 8 events attended by 300+ students and securing $10K in corporate sponsorships"
Focus on:
Example: "Managed cross-functional teams of 15 (traditional retail) → can become: "Led cross-functional teams of 15 across operations, merchandising, and customer experience, coordinating workflows and achieving 100% project completion rate"
Focus on:
Don't draw attention to gaps, just fill space with relevant achievements.
For each resume bullet: