agentleFS
ulises-jeremiasulises-jeremias/agent-toolkit/skills/delivery/project-assessment/SKILL.md

project-assessment

Skill19 starsChanged 2 months agoMITView on GitHub

WHAT - Interactive project assessment router: define assessment scope and units, collect

We split this skill into the rules it gives an agent

15 rules. About 0 are common, 13 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈13

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when the user asks for a project assessment, maturity assessment, delivery audit, technical assessment, management …

    line 11
  2. Distinctive:

    Never assign a score without evidence.

    line 19
  3. Distinctive:

    Keep sensitive details out of reusable artifacts.

    line 20
  4. Distinctive:

    Do not mention client-specific reference examples or internal audit links in generated outputs.

    line 21
  5. Distinctive:

    Ask the assessment purpose: baseline, periodic review, due diligence, quality improvement, delivery health check, AI-readiness review, or …

    line 26
  6. Distinctive:

    Ask the assessment period and target audience.

    line 27
  7. Distinctive:

    Ask whether the assessment should cover management units, technical units, or both.

    line 28
  8. Distinctive:

    Ask which repositories, products, squads, platforms, or delivery scopes form each assessment unit.

    line 29
  9. Distinctive:

    Ask the user where each evidence category lives instead of assuming ClickUp or repository-only evidence.

    line 33
  10. Very specific:

    If UI depth is required, pair the technical unit assessment with figma / figma-implement-design.

    line 37
  11. Very specific:

    If repository discovery is required, pair with assistant and the repository-specific rules.

    line 38
  12. Distinctive:

    Use the 1 to 5 maturity scale from the assessment indicators.

    line 40
  13. Distinctive:

    Treat score 3 as "defined or partially mature", not as average performance.

    line 41
  14. Distinctive:

    Ask these before creating the final assessment artifact:

    line 51
  15. Distinctive:

    Follow-up work item candidates

    line 73

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 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

Project Assessment (WHAT)

Use this skill when the user asks for a project assessment, maturity assessment, delivery audit, technical assessment, management assessment, quality indicator review, or improvement roadmap.

This is a router skill. Keep it focused on assessment flow, gates, and delegation. Use the unit-specific skills for scoring details.

Default guardrails

  1. Apply output-handshake before producing any final assessment report, scorecard, action plan, or executive summary: ask where the artifact should live and confirm human review.
  2. Apply project-assessment-evidence before scoring. Evidence may live in repositories, boards, docs, spreadsheets, dashboards, incidents, PRs, meetings, interviews, Slack, emails, or any other project system. Ask the user where to find each source.
  3. Never assign a score without evidence. If evidence is missing, mark the indicator as Not assessed or score it with Low confidence and state the assumption explicitly.
  4. Keep sensitive details out of reusable artifacts. Redact secrets, credentials, private customer data, and unnecessary personal data.
  5. Do not mention client-specific reference examples or internal audit links in generated outputs. Use only abstracted patterns.

Assessment flow

  1. Intake
    • Ask the assessment purpose: baseline, periodic review, due diligence, quality improvement, delivery health check, AI-readiness review, or internal audit support.
    • Ask the assessment period and target audience.
    • Ask whether the assessment should cover management units, technical units, or both.
    • Ask which repositories, products, squads, platforms, or delivery scopes form each assessment unit.
  2. Evidence collection
    • Delegate to project-assessment-evidence.
    • Build an evidence map before scoring.
    • Ask the user where each evidence category lives instead of assuming ClickUp or repository-only evidence.
  3. Unit assessment
    • For technical workloads, delegate to technical-unit-assessment.
    • For project management and delivery scopes, delegate to management-unit-assessment.
    • If UI depth is required, pair the technical unit assessment with figma / figma-implement-design.
    • If repository discovery is required, pair with assistant and the repository-specific rules.
  4. Consensus and scoring
    • Use the 1 to 5 maturity scale from the assessment indicators.
    • Treat score 3 as "defined or partially mature", not as average performance.
    • Record confidence per score: High, Medium, Low, or Not assessed.
    • For subjective indicators, ask who should validate the score and whether weights are needed.
  5. Findings and action plan
    • Summarize strengths, risks, gaps, and opportunities.
    • Separate confirmed findings from assumptions and missing evidence.
    • Convert recommendations into actionable follow-ups only after user approval, delegating ticket creation to the relevant ticket skill.

Required interactive questions

Ask these before creating the final assessment artifact:

  • Where should the final assessment live?
  • Who will review and approve it?
  • What is the assessment purpose and period?
  • Which management units and technical units are in scope?
  • Which systems of record should be used for evidence?
  • Where are the repositories, docs, boards, diagrams, CI/CD pipelines, dashboards, incident records, meeting notes, decisions, agreements, and stakeholder feedback?
  • Which indicators must be skipped, weighted, or treated as out of scope?
  • Which people should be interviewed or asked to validate subjective scores?

Outputs

Typical outputs are:

  • Assessment plan and scope
  • Evidence map
  • Unit scorecards
  • Findings with evidence links
  • Missing evidence register
  • Risk and opportunity summary
  • Recommendations and action plan
  • Follow-up work item candidates

Boundaries

  • This skill does not execute ClickUp, Jira, Confluence, GitHub, GitLab, Slack, or repository commands. Delegate HOW to tool skills.
  • This skill does not replace project-specific assessment procedures. If an engagement pack or repository defines stricter rules, surface the difference and follow the stricter/project-specific rule.
  • This skill does not create tasks or update documents without explicit user approval.

References

  • references/default-template.md - default assessment report template
  • references/example-platform-assessment.md — example assessment for a platform engineering team with full scorecard
  • project-assessment-evidence - evidence map and source-by-source intake
  • technical-unit-assessment - technical unit indicators and template
  • management-unit-assessment - management unit indicators and template
  • output-handshake - destination and human review
  • assistant - repository discovery
  • clickup-cli, external Jira/Confluence skills, forge skills, and Slack skills - evidence retrieval or artifact updates after approval

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