generate-questionnaire

Skill: generate-questionnaire

Generates structured questionnaires for IT project management. Two types: (1) client questionnaire — collects initial requirements at project start; (2) team questionnaire — collects lessons learned at project closure. Also structures received answers for downstream skills.

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Triggers

Russian: «сформируй опросник», «подготовь опросник для заказчика», «создай бриф заказчику», «подготовь анкету по урокам», «структурируй ответы заказчика», «нужен опросник», «подготовь вопросы для заказчика» English: "generate questionnaire", "create client brief", "prepare lessons questionnaire", "structure stakeholder answers", "build client brief", "prepare project brief"

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Language Detection

Determine the language of the user's request:

• If the request is in Russian → use templates with the -ru suffix
• Otherwise → use templates with the -en suffix
• All output (headings, labels, agent messages) must match the detected language.

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Input

Data	Required	Source	Notes
Questionnaire type	yes	command or CLAUDE.md	client (phase 1) or lessons (phase 6)
Project name	yes	CLAUDE.md or command	Used in the file header
Recipient(s)	yes	command or CLAUDE.md	Name and email. For client — project sponsor; for lessons — team members
PM name	no	CLAUDE.md	Inserted into questionnaire metadata
Response deadline (deadline)	no	command	For lessons type only. If not provided — ask: "Specify the deadline by which the team should submit their responses."

If the type is not explicitly specified — determine from the project phase (from CLAUDE.md):

• Phase 1 (initiation) → client
• Phase 6 (closure) → lessons
• Otherwise → ask one clarifying question:

Please clarify what you need:
A) Create a client questionnaire (Phase 1 — Initiation)
B) Create a team lessons-learned questionnaire (Phase 6 — Closure)
C) Structure received client answers
D) Structure received team answers

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Output

Type	File	Project path	Mode
client	questionnaire-client.md	{project}/01-initiation/	generate
lessons	questionnaire-lessons.md	{project}/04-closure/	generate
any	Structured report in chat	—	structure

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Instructions

Step 1 — Determine Mode and Type

Check the request type first:

• If the request contains "evaluate", "analyze", "is it worth doing", "give a recommendation on the project" → this is an analysis request outside the skill's scope. Respond: "This skill structures questionnaire data but does not analyze answers or assess project viability. I can structure the answers and pass them to generate-charter, where the agent will flag ambiguities. Continue?" Wait for confirmation. Do not proceed until confirmed.

Determine the mode:

• Command to generate / prepare / create a questionnaire → generate mode
• Received answers ready to be structured → structure mode

If the mode is unclear — ask the clarifying question (see template above).

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Step 2 — generate Mode: Create Questionnaire

1. Determine language.
2. Read the template:
   • client → questionnaire-client-{lang}.md
   • lessons → questionnaire-lessons-{lang}.md
3. Fill in metadata placeholders:

Placeholder	Source	Notes
{{project_name}}	CLAUDE.md or command
{{recipient_name}}	command or CLAUDE.md
{{pm_name}}	CLAUDE.md (if available)
{{date}}	current date (YYYY-MM-DD)
{{deadline}}	command	lessons type only. If not in command — ask before saving.

4. Save the file according to the Output table. 4a. If type is lessons and only 1 recipient is specified — append to the confirmation message: "1 recipient specified. If you need to add more — let me know before sending."
5. Show in chat:
   • What was created: "Questionnaire saved as [filename] in [path]."
   • Next step: "Prepare an email draft for sending?"
6. After confirmation — proceed to Step 3.
7. Log to logs/log.md: date, skill, created file, recipient.

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Step 3 — Prepare Email and Call send-email

Determine parameters by type:

Type	Email template	Attachment	Format	Level
client	email-tpl-questionnaire-client-{lang}.md	questionnaire-client.md	.docx	3 (with confirmation)
lessons	email-tpl-questionnaire-lessons-{lang}.md	questionnaire-lessons.md	.md	2 (PM in CC)

Autonomy levels:

• Level 2 — agent sends the email; PM added to CC automatically.
• Level 3 — agent shows email draft; waits for human confirmation before sending.

Call send-email:

send-email(
  type          = "questionnaire-[client|lessons]",
  recipients    = [list of recipients with email],
  template      = [path to email template],
  attachment    = [path to questionnaire file],
  attach_format = [.docx | .md],
  level         = [3 | 2]
)

Stub: send-email is not yet implemented. Until it is — display an email draft based on the email template and offer to send manually via Gmail.

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Step 4 — structure Mode: Structure Answers

1. Receive answers from chat or an attached file.
2. Determine the answer type:
   • Answers about project goals, scope, constraints → client type
   • Answers about lessons learned and retrospective → lessons type
3. Structure by blocks matching the corresponding questionnaire template.
4. Flag unanswered and ambiguous questions.
5. Show in chat:
   • Structured data by block
   • List of unanswered / ambiguous items (if any)
   • Recommendation: "Pass data to [generate-charter | generate-closure-report]?"
6. On confirmation — offer to launch the downstream skill.

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Dependencies

Reads:

• CLAUDE.md of the managed project — project name, PM, contacts
• Templates from templates/: questionnaires (4 files) + email templates (4 files)

Passes data to:

• generate-charter — after structuring client answers (phase 1)
• generate-closure-report — after structuring lessons answers (phase 6)

Calls:

• send-email — delivery module (stub until implemented)

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Constraints

• Questionnaire template is fixed — questions are not generated dynamically by project type
• Does not analyze answers or assess project viability
• Does not send email directly — calls send-email
• Does not create the project charter or close the project — only passes data downstream
• Handles one project per invocation

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Changelog

Date	Version	Change
2026-04-06	1.0	Skill created. Two questionnaire types (client, lessons). Two modes (generate, structure). send-email stub.
2026-04-06	1.1	Post-eval fixes (4/6 → 6/6): added {{deadline}} to input and placeholder tables; added step 4a for single-recipient warning (lessons); added guard rail in Step 1 for analysis requests.