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encoreshaoencoreshao/encore-skills/skills/pm-workflow/SKILL.md

pm-workflow

Skill2 starsChanged 15 days agoMITView on GitHub

Full PM/designer loop — draft an issue, interact with users and stakeholders to validate it, refine until dev-ready, then finalize

1 other project uses a version of this.

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The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 9 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use write-issue. Don't try to be complete — a good draft is specific about the problem and honest about what's still unknown.

    line 37
  2. Distinctive:

    Ask specific questions, not open ones:

    line 62
  3. Distinctive:

    Keep collecting until one of these is true:

    line 86
  4. Distinctive:

    Before updating the issue, process what you heard:

    line 95
  5. Distinctive:

    Update the issue based on synthesis.

    line 110
  6. Distinctive:

    Read the issue as if you've never seen it.

    line 130
  7. Distinctive:

    If any answer is "no" — go back to Phase 2 or Phase 5 and close the gap.

    line 138
  8. Distinctive:

    If all answers are "yes" — the issue is ready.

    line 140
  9. Distinctive:

    One issue, one problem: If scope grows, open a new issue.

    line 169
  10. Distinctive:

    Conflicts belong in the issue, not in your head: If you made a call, write it down and why.

    line 170

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

PM Workflow

The PM loop is not about code — it's about getting the problem definition right before anyone writes a line. A vague issue creates vague work. Your job is done when an engineer can pick this up and start without asking you a single question.

The loop

write-issue → share → gather-feedback → synthesize → refine → validate → finalize
      ↑                      |
      └───────── iterate ────┘

Entry points

Where you areStart here
Rough idea, bug report, user complaintPhase 1: Draft
Issue drafted, not yet sharedPhase 2: Share
Feedback collected, need to update issuePhase 4: Synthesize
Issue refined, checking if it's readyPhase 5: Validate

Phase 1: Draft the issue

Use write-issue. Don't try to be complete — a good draft is specific about the problem and honest about what's still unknown.

Gate: The issue has a clear problem statement, a best-guess root cause, and at least draft acceptance criteria.


Phase 2: Share with stakeholders

Post the issue link and ask for structured feedback — not just "does this look right?"

# Post to GitLab and get the URL
GITLAB="$HOME/.claude/skills/gitlab-config/scripts/gitlab_api.py"
python $GITLAB get-issue <project> <issue_iid>   # confirm it's visible

# Or create it first if still a draft
glab issue create --title "TITLE" --description "DESCRIPTION"

Who to share with:

  • Users affected — do they recognize this as their problem?
  • Stakeholders — is this the right priority? any constraints?
  • Designer (if applicable) — any UX implications missed?
  • Tech lead — is the proposed approach feasible? any hidden complexity?

Ask specific questions, not open ones:

  • "Does this match what you reported in [original report]?"
  • "Is acceptance criterion #2 testable from your side?"
  • "What would make this out of scope?"

Phase 3: Gather feedback

Collect responses. Document them directly — don't rely on memory.

Track each piece of feedback as:

[Source] [Type: clarifies / contradicts / adds / removes] — <what they said>

Examples:

[User A] clarifies — the bug only happens on mobile, not desktop
[Tech Lead] adds — this touches the auth service, needs security review
[Stakeholder] contradicts — out of scope for this quarter, defer to Q3

Keep collecting until one of these is true:

  • You have responses from all critical stakeholders
  • New feedback is no longer changing anything (saturation)
  • A blocker has emerged that requires a decision before continuing

Phase 4: Synthesize

Before updating the issue, process what you heard:

  1. What changed? — requirements that need updating
  2. What's consistent? — confirmed and solid, no action needed
  3. What conflicts? — two stakeholders said opposite things; you must decide or escalate
  4. What's new scope? — things that came up that belong in a separate issue

For conflicts: make a call and document the reasoning. Don't leave ambiguity in the issue — that's what an engineer will hit at 11pm.

For new scope: open a linked issue. Don't expand this one.


Phase 5: Refine the issue

Update the issue based on synthesis. Edit the original — don't add a comment with the changes.

What to update:

  • Title — still accurate after feedback?
  • Problem statement — clearer root cause?
  • Acceptance criteria — testable, specific, complete?
  • Out of scope — explicitly list what this does NOT cover
  • Open questions — remove resolved ones; flag any still unresolved
# Update via API
GITLAB="$HOME/.claude/skills/gitlab-config/scripts/gitlab_api.py"
# Edit the issue directly in GitLab UI, or use glab:
glab issue update <issue_iid> --description "UPDATED_DESCRIPTION"

Phase 6: Validate — is it eng-ready?

Read the issue as if you've never seen it. Ask:

  • Could an engineer start on this without asking me a single question?
  • Is every acceptance criterion specific and testable?
  • Is the root cause identified (for bugs) or clearly stated (for features)?
  • Is the scope boundary explicit — what's in and what's out?
  • Are there any open questions still unresolved?

If any answer is "no" — go back to Phase 2 or Phase 5 and close the gap.

If all answers are "yes" — the issue is ready.


Phase 7: Finalize

Mark it ready and hand it off.

GITLAB="$HOME/.claude/skills/gitlab-config/scripts/gitlab_api.py"

# Add label to signal eng-ready
glab issue update <issue_iid> --label "ready-for-eng"

# Post a comment summarizing what was validated
python $GITLAB post-issue-comment <project> <issue_iid> \
  "Issue validated with stakeholders. Ready for eng. Key decisions: <summary of any non-obvious calls made>"

# Assign if known
glab issue update <issue_iid> --assignee <engineer-handle>

Notify the engineer or team in whatever channel they use. Don't just change the label and disappear — confirm they've seen it.


Principles

  • The issue is the contract. Whatever you write in acceptance criteria is what gets built. Be precise.
  • One issue, one problem. If scope grows, open a new issue. Don't expand this one mid-flight.
  • Conflicts belong in the issue, not in your head. If you made a call, write it down and why.
  • Iterate fast, then stop. Two rounds of feedback is usually enough. Three is the max. After that, you're polishing, not improving.
  • Done means an engineer can start. Not "done means everyone agreed." Consensus is nice; clarity is required.

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