Evan
05bdf02169
* feat(workflows): add 13 workflow templates across engineering, business, and productivity Engineering: - bug-triage: reproduce path → root cause → fix plan - api-design: resource model → endpoints → OpenAPI spec - incident-postmortem: timeline → RCA → full postmortem report - test-generation: code analysis → edge cases → full test suite - refactor-plan: smell analysis → prioritised opportunities → migration plan Business: - competitor-analysis: profiles → SWOT → strategy report - product-spec: problem definition → user stories → full PRD - market-research: landscape → segments → research report Productivity/Thinking: - meeting-summary: raw notes → structured summary → follow-up email - decision-matrix: criteria → weighted scoring → recommendation memo - learning-plan: gap analysis → roadmap → week-1 day-by-day plan - job-application: job analysis → tailored resume → cover letter → interview prep - blog-post: research → outline → draft → SEO optimisation Closes #1912 on librefang/librefang * fix(workflows): overhaul existing 9 templates - data-pipeline: redesigned — original 'extract from URL' step was broken (LLMs cannot fetch URLs); replaced with paste-data approach (profile → clean_transform → analyse) with analysis_goal parameter - translate-polish: added target_language and register parameters; added back-translation step for accuracy verification - weekly-report: added team/audience parameters, richer extraction step, added Metrics and Notes sections - content-pipeline: added audience/tone parameters, added outline step between research and writing - content-review: fix category 'content' → 'creation' - customer-support: fix category 'support' → 'business' * style(workflows): convert all prompt_template strings to TOML multiline syntax Replace \n escape sequences with real newlines using triple-quote multiline strings ("""...""") across all 22 workflow templates. No content changes — formatting only. * style(hands): replace \n escape in reddit writer format example with multiline code block
90 lines
2.8 KiB
TOML
90 lines
2.8 KiB
TOML
id = "job-application"
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name = "Job Application Package"
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description = "Tailor a resume and cover letter to a specific job posting, then prepare targeted interview talking points."
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category = "productivity"
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tags = ["career", "resume", "job", "interview"]
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[i18n.zh]
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name = "求职材料准备"
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description = "针对特定职位定制简历和求职信，并准备有针对性的面试谈话要点。"
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[[parameters]]
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name = "job_posting"
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description = "The full job posting or description"
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param_type = "string"
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required = true
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[[parameters]]
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name = "resume"
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description = "Your current resume or experience summary"
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param_type = "string"
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required = true
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[[steps]]
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name = "job_analysis"
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prompt_template = """
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Analyse the job posting as an experienced recruiter:
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1. **Must-have requirements** — skills/experience that are non-negotiable
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2. **Nice-to-have requirements** — preferred but not required
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3. **Company signals** — culture, values, team dynamics from the language used
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4. **Role signals** — what success looks like in 90 days, key challenges
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5. **Keywords** — ATS-critical terms to include in application materials
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6. **Red flags** — anything unusual or concerning in the posting
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Job posting:
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{{job_posting}}
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"""
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[[steps]]
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name = "resume_tailoring"
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prompt_template = """
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Tailor the resume for this specific role:
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1. **Reorder sections** — put most relevant experience first
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2. **Rewrite bullet points** — for each experience, suggest stronger versions that match job keywords
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3. **Quantify impacts** — flag any bullet points that should have metrics added
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4. **Gaps to address** — experience or skills missing vs. the role requirements
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5. **Summary statement** — write a 3-sentence tailored summary for the top of the resume
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Job analysis:
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{{job_analysis}}
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Resume:
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{{resume}}
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"""
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depends_on = ["job_analysis"]
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[[steps]]
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name = "cover_letter"
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prompt_template = """
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Write a compelling cover letter (3-4 paragraphs, under 400 words):
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- Opening: specific hook connecting your background to the company's mission
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- Body: 2 concrete achievements that directly address the job's must-haves
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- Closing: clear ask + why this specific company
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Avoid clichés like 'I am writing to apply' or 'I am a hard worker'.
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Job analysis:
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{{job_analysis}}
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Resume:
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{{resume}}
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"""
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depends_on = ["job_analysis"]
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[[steps]]
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name = "interview_prep"
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prompt_template = """
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Prepare interview talking points:
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1. **STAR stories** — 3 specific situations from the resume mapped to the job's key requirements
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2. **Questions to ask** — 5 smart questions that show deep interest
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3. **Difficult questions** — likely tough questions for this role with suggested answers
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4. **Salary research** — how to position compensation discussion
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Job analysis:
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{{job_analysis}}
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Resume:
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{{resume}}
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"""
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depends_on = ["job_analysis", "resume_tailoring"]
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