phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.
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/phuryn/pm-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/commands/phuryn/pm-skills/tailor-resume)<a href="https://agentmods.dev/commands/phuryn/pm-skills/tailor-resume"><img src="https://agentmods.dev/badge/commands/phuryn/pm-skills/tailor-resume/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/commands/phuryn/pm-skills/tailor-resume"><img src="https://agentmods.dev/badge/commands/phuryn/pm-skills/tailor-resume.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 | $0.00021 | $0.00556 |
| Opus 5.5 | $0.00008 | $0.00222 |
| Sonnet 5.5 | $0.00004 | $0.00111 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
tailor-resume 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 1mo 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/tailor-resume -- Resume-to-JD Optimization
Take your resume and a target job description, then strategically align your experience to maximize interview chances. Keyword optimization, bullet point rewriting, and gap analysis.
Invocation
/tailor-resume [upload resume] Here's the JD: [paste job description]
/tailor-resume [upload both resume and JD as files]
Workflow
Step 1: Accept Both Documents
Need two inputs:
- The resume (text, PDF, or DOCX)
- The target job description (text, URL, or file)
If only one is provided, ask for the other.
Step 2: Analyze the Job Description
Extract:
- Required qualifications and skills
- Preferred qualifications
- Key responsibilities
- Industry and domain signals
- Seniority level indicators
- Cultural and team signals
Step 3: Tailor the Resume
Apply the review-resume skill:
- Keyword alignment: Map JD keywords to resume content, add missing keywords naturally
- Bullet point rewriting: Reframe experience to emphasize JD-relevant accomplishments using XYZ+S formula
- Section reordering: Prioritize the most relevant experience
- Summary/objective: Rewrite to directly address the role
- Skills section: Align with JD requirements
Step 4: Generate Tailored Resume + Analysis
## Resume Tailoring: [Job Title] at [Company]
### Alignment Score: [X/10]
### Keyword Gap Analysis
| JD Keyword | In Resume? | Recommendation |
|-----------|-----------|---------------|
### Changes Made
1. **[Section]**: [what changed and why]
2. ...
### Tailored Resume
[Full rewritten resume text]
### Gap Analysis
**Strong matches**: [where your experience directly aligns]
**Reframed matches**: [where experience was repositioned to fit]
**Gaps**: [JD requirements you don't clearly address — with suggestions]
### Cover Letter Talking Points
[3-4 points to emphasize in a cover letter that bridge remaining gaps]
Save tailored resume as markdown.
Notes
- Never fabricate experience — reframe truthfully, don't invent
- The summary/objective is the highest-ROI section to customize per application
- Match the JD's language exactly where possible (if they say "cross-functional," use "cross-functional")
- For senior roles, emphasize scale and strategic impact; for IC roles, emphasize hands-on execution
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.
- 1mo ago First seen · 82 lines · 21 tokens per session scan A 26d470d5e81d
tailor-resume is a command published in the GitHub repository phuryn/pm-skills (27,091 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 556 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-15.
Other commands, from other repositories
brief-me
Get briefed — loads your full memory, pulls live state from all connected tools, surfaces risks, staleness, upcoming milestones, and gives you a prioritized briefing so you're never starting blank.
customer-stories
Kick off, interview for, draft, send for customer review or audit a B2B customer story in one fixed structure, with stats and named quotes checked.
experiment-ideas
Generate several concrete, brain-grounded growth ideas — channel, message, rationale, cost-efficiency — ranked by effort vs. impact.
value-prop-statements
Fan an existing positioning statement out into segment- and channel-specific value-prop copy variants, trace-checked against drift.
pmm-metrics
Define a North Star Metric and capped scorecard, or audit an existing metrics list for sprawl and vanity metrics.
alternatives-map
Build or deepen your competitive alternatives map — direct competitors, adjacent tools, DIY, and status quo — from real win/loss data.