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Orchestrates the complete resume and job application workflow using specialized resume skills. Routes to the right skill based on user intent and chains multiple skills together for comprehensive career support.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Run AI coding agents on disposable repo clones. The agent works on a clone — it can't touch your real repo. An optional container (Podman or Docker) provides build/test isolation. You review the diff and decide what (if anything) to apply.
Create Deezer playlists programmatically from any query — similar artists, genre mixes, festival lineups, mood-based collections. Four-tier data pipeline: Deezer public REST API + Last.fm scrobble data for discovery, GQL Pipe API for smart mixes and playlist creation, web search for subjective curation. Uses ARL cookie auth — no OAuth app required.
Generate compact AI-readable context maps from codebases — tools like codesight, repomix, agentic-context that pre-compute project structure to save tokens in AI coding sessions.
Research-focused query handling with multi-source synthesis, citations, and Obsidian persistence. Like a self-hosted Perplexity/Vane but CLI-native. Best for quick-to-medium lookups using Kagi. Use when the user asks factual questions, needs citations, or wants a direct answer — not a full research report (use deep-research) or social sentiment (use last30days). Triggers on: research, look into, what's the latest on, compare, explain, investigate.
Write articles, guides, blog posts, tutorials, newsletter issues, research reports, and deep research outputs in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, deep research on a topic, or a research report — especially when voice consistency, structure, and credibility matter. Triggers on: 'write an article', 'research report', 'deep research', 'long-form', 'blog post', 'guide', 'newsletter', 'white paper', 'research paper'.
Systematic research methodology for major consumer durables (appliances, HVAC, power tools, outdoor equipment) and smart garden/outdoor devices (bird feeder cameras, bird baths, smart outdoor gadgets). Emphasis on real reliability data, failure mode analysis, and head-to-head comparison. Use when the user asks to research, review, compare, or evaluate major purchases where longevity and repair risk matter, or when researching smart bird feeders, bird bath cameras, and similar connected outdoor devices. Triggers on: washer/dryer, refrigerator, dishwasher, HVAC, furnace, AC, generator, power tool, appliance reviews, appliance reliability, which [appliance] to buy, compare models, bird feeder camera, bird bath camera, smart garden devices.
| name | resume-workflow-orchestrator |
| description | Orchestrates the complete resume and job application workflow using specialized resume skills. Routes to the right skill based on user intent and chains multiple skills together for comprehensive career support. |
This meta-skill orchestrates the complete resume and job application workflow by routing to specialized skills and chaining them together. It provides a unified interface for all resume-related tasks while leveraging the deep expertise of individual skills.
Job Analysis & Fit Assessment:
Resume Creation & Tailoring:
Application Materials:
Portfolio & Supporting:
When user provides a job URL or description and wants to apply:
Step 1: Analyze Job Fit
Use: job-description-analyzer
Input: Job description/URL
Output: Match score, gap analysis, application strategy
Step 2: Generate Tailored Resume
Use: tailored-resume-generator (with enhancements from resume-bullet-writer, resume-quantifier, career-changer-translator as needed)
Input: Job analysis + candidate background + existing resume
Output: Tailored resume in markdown + DOCX
Step 3: Create Cover Letter
Use: cover-letter-generator
Input: Tailored resume + job description
Output: Personalized cover letter
Step 4: ATS Optimization Check
Use: resume-ats-optimizer
Input: Tailored resume + job description
Output: ATS compatibility report + keyword match score
Step 5: Interview Preparation
Use: interview-prep-generator
Input: Tailored resume + job description + salary data
Output: STAR stories, talking points, salary anchor
When user wants to improve an existing resume:
Step 1: Assess Current State
Use: resume-formatter (format check) + resume-ats-optimizer (ATS check)
Input: Current resume
Output: Formatting issues, ATS compatibility issues
Step 2: Enhance Bullets
Use: resume-bullet-writer + resume-quantifier
Input: Weak bullets + candidate context
Output: Achievement-focused, quantified bullets
Step 3: Optimize for Target Role
Use: tailored-resume-generator (lightweight, just reordering/emphasizing)
Input: Enhanced resume + target job description
Output: Role-optimized resume
When user is switching industries/roles:
Step 1: Translate Experience
Use: career-changer-translator
Input: Current experience + target industry/role
Output: Translated skills, reframed achievements, industry terminology mapping
Step 2: Identify Transferable Skills
Use: job-description-analyzer (on target role) + career-changer-translator
Input: Target job description + current background
Output: Gap analysis, transferable skills mapping, bridge strategy
Step 3: Create Transition Resume
Use: tailored-resume-generator (with career-changer-translator context)
Input: Translated experience + target job description
Output: Resume emphasizing transferable skills and relevant projects
For senior leadership positions:
Step 1: Executive Branding
Use: executive-resume-writer
Input: Leadership experience + achievements + board experience
Output: Executive profile, leadership competencies, career highlights
Step 2: Strategic Tailoring
Use: tailored-resume-generator (executive mode)
Input: Executive resume + target C-suite role
Output: C-suite tailored resume emphasizing P&L, transformation, strategic impact
For faculty/research positions:
Step 1: Build Academic CV
Use: academic-cv-builder
Input: Publications, grants, teaching, research experience
Output: Academic CV with proper formatting for target institution
Step 2: Tailor for Specific Position
Use: tailored-resume-generator (academic mode)
Input: Academic CV + job description (tenure-track, postdoc, etc.)
Output: Targeted academic CV emphasizing relevant research/teaching
job-description-analyzer → tailored-resume-generator → cover-letter-generator → interview-prep-generator
resume-formatter + resume-ats-optimizer + resume-bullet-writer (all run on same resume)
job-description-analyzer → [if tech role: tech-resume-optimizer] → [if career change: career-changer-translator] → tailored-resume-generator
tailored-resume-generator → resume-ats-optimizer → [if score < 80%: back to tailoring] → finalize
User: "I want to apply for this Senior Product Manager role at Stripe [URL]"
Orchestrator:
1. Runs job-description-analyzer on the URL
2. Presents match score and recommendation
3. Asks for candidate background/resume
4. Runs tailored-resume-generator with job analysis
5. Runs cover-letter-generator
6. Runs resume-ats-optimizer for final check
7. Runs interview-prep-generator with salary data
8. Delivers complete application package
User: "My resume bullets are weak, help me improve them"
Orchestrator:
1. Asks for current resume
2. Runs resume-bullet-writer on each bullet
3. Runs resume-quantifier to add missing metrics
4. Runs resume-formatter for layout improvements
5. Presents enhanced resume
User: "I'm a teacher wanting to move into corporate training"
Orchestrator:
1. Runs career-changer-translator to map teaching → corporate training
2. Identifies transferable skills and reframes experience
3. Runs job-description-analyzer on sample training roles
4. Runs tailored-resume-generator with translation context
5. Suggests portfolio projects to bridge gaps
Is user applying to a specific job?
├─ YES → job-description-analyzer first
│ └─ Match score > 60%? → Continue with tailored-resume-generator
│ └─ Specialized role?
│ ├─ Tech/SWE/PM/Data → tech-resume-optimizer
│ ├─ C-suite/VP/Director → executive-resume-writer
│ ├─ Academic/Faculty → academic-cv-builder
│ ├─ Creative/Design → creative-portfolio-resume
│ └─ General → tailored-resume-generator
│ └─ Career changer? → career-changer-translator first
│ └─ Match score < 60% → Advise against applying (unless dream job)
└─ NO → What does user need?
├─ Improve bullets → resume-bullet-writer
├─ Add metrics → resume-quantifier
├─ Fix formatting → resume-formatter
├─ ATS check → resume-ats-optimizer
├─ Career change → career-changer-translator
├─ Interview prep → interview-prep-generator
└─ Salary negotiation → salary-negotiation-prep