* 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
79 lines
2.5 KiB
TOML
79 lines
2.5 KiB
TOML
id = "research"
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name = "Research & Summarise"
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description = "Research pipeline that investigates a topic from multiple angles, cross-checks findings for accuracy, and produces a concise executive summary with citations."
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category = "research"
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tags = ["research", "fact-check", "summarise", "analysis"]
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[i18n.zh]
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name = "调研与摘要"
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description = "调研流水线,从多个角度研究主题,交叉验证结果的准确性,并生成带引用的精炼摘要。"
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[[parameters]]
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name = "topic"
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description = "The research topic or question to investigate"
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param_type = "string"
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required = true
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[[parameters]]
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name = "depth"
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description = "Research depth: overview, standard, or deep-dive"
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param_type = "string"
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required = false
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default = "standard"
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[[parameters]]
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name = "audience"
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description = "Target audience for the summary (executive, technical, general)"
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param_type = "string"
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required = false
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default = "general"
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[[steps]]
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name = "research_primary"
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prompt_template = """
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Conduct {{depth}}-level research on the following topic. Identify key facts, major viewpoints, recent developments, and relevant data points. Organise findings into clear sections with source attribution where possible.
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Topic: {{topic}}
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"""
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[[steps]]
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name = "research_counter"
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prompt_template = """
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Investigate counter-arguments, alternative perspectives, and potential criticisms related to the following topic. Identify areas of genuine controversy or debate, and note any commonly cited claims that are misleading or outdated.
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Topic: {{topic}}
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"""
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[[steps]]
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name = "fact_check"
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prompt_template = """
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Cross-check the following research findings for factual accuracy. For each major claim, assess confidence level (confirmed, likely, uncertain, disputed). Flag any contradictions between the primary research and counter-arguments. Note any claims that require additional verification.
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Primary research:
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{{research_primary}}
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Counter-arguments:
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{{research_counter}}
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"""
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depends_on = ["research_primary", "research_counter"]
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[[steps]]
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name = "summarise"
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prompt_template = """
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Produce a concise executive summary suitable for a {{audience}} audience. Incorporate verified findings from the fact-check step. Structure as:
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1. Key takeaways (3-5 bullet points)
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2. Detailed analysis with confidence levels
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3. Areas of uncertainty or debate
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4. Recommendations for further investigation
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Fact-checked research:
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{{fact_check}}
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Primary findings:
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{{research_primary}}
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Alternative perspectives:
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{{research_counter}}
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"""
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depends_on = ["fact_check"]
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