skin-health-analyzer

Skin Health Analysis Skill

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/skin-health-analyzer from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Skin Health Analysis Skill

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Skill Overview, Medical Disclaimer, Core Functions, Use Cases, Data Analysis Methods, Quality Assurance.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Use this skill when tackling tasks related to its primary domain or functionality as described above.
• Use when the request clearly matches the imported source intent: Analyze skin health data, identify skin problem patterns, assess skin health status. Supports correlation analysis with nutrition, chronic diseases, and medication data.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

Situation	Start here	Why it matters
First-time use	metadata.json	Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review	ORIGIN.md	Gives reviewers a plain-language audit trail for the imported source
Workflow execution	SKILL.md	Starts with the smallest copied file that materially changes execution
Supporting context	SKILL.md	Adds the next most relevant copied source file without loading the entire package
Handoff decision	## Related Skills	Helps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: Skill Overview

This skill provides comprehensive skin health data analysis capabilities, including trend identification, risk assessment, problem diagnosis, and personalized recommendation generation. Special emphasis is placed on mole monitoring and skin cancer prevention.

Examples

Example 1: Ask for the upstream workflow directly

Use @skin-health-analyzer to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @skin-health-analyzer against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @skin-health-analyzer for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @skin-health-analyzer using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/skin-health-analyzer, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource family	What it gives the reviewer	Example path
references	copied reference notes, guides, or background material from upstream	references/n/a
examples	worked examples or reusable prompts copied from upstream	examples/n/a
scripts	upstream helper scripts that change execution or validation	scripts/n/a
agents	routing or delegation notes that are genuinely part of the imported package	agents/n/a
assets	supporting assets or schemas copied from the source package	assets/n/a

Imported Reference Notes

Imported: Medical Disclaimer

⚠️ Important Notice: The data analysis and recommendations provided by this skill are for reference only and do not constitute medical diagnosis or treatment advice.

• All skin problems should be diagnosed and treated by a professional dermatologist
• Abnormal changes in moles must be examined by a doctor immediately
• Skin cancer requires professional diagnosis and cannot rely solely on self-assessment
• Analysis results cannot replace a professional dermatological examination
• In emergencies, seek medical attention immediately
• Please follow the professional advice of a dermatologist

Imported: Core Functions

1. Trend Analysis

Skin problem development trends

• Identify occurrence patterns of problems such as acne and eczema
• Analyze the seasonality and periodicity of problems
• Assess changes in problem severity
• Predict future flare-up risk

Output Content：

• Problem occurrence frequency curve
• Severity change trends
• Trigger factor analysis
• Prevention recommendations

Mole Change Monitoring

• Tracking the location and number of new moles
• Monitoring size changes of existing moles
• Recording changes in ABCDE features
• Identification of high-risk moles

Output Content：

• Mole distribution map
• Change warning report
• List of cosmetic moles requiring attention
• Medical consultation recommendations

Skincare Effect Evaluation

• Analysis of skincare routine usage frequency
• Product effect evaluation
• Skin condition improvement
• Adverse reaction monitoring

Output Content：

• Skincare effect score
• Product recommendations
• Routine optimization recommendations
• Cost-benefit analysis

Sun Exposure Protection Effect Analysis

• Statistics on sunscreen usage
• Frequency of sunburn occurrence
• Assessment of photoaging signs
• Recommendations for improving protection habits

Output Content：

• Protection score trends
• Risk assessment
• Improvement recommendations
• Product recommendations

2. Risk Assessment

Skin cancer risk assessment

Comprehensive assessment based on the following factors:

• Skin type (Fitzpatrick classification)
• History of sun exposure
• Number and characteristics of moles
• History of sunburn
• Family history
• History of tanning bed use

Risk level：

• Low risk: Dark skin, little sun exposure, no abnormal moles
• Moderate risk: Light skin, moderate sun exposure, abnormal moles present
• High risk: Light skin, high sun exposure, multiple abnormal moles, family history

Output content：

• Risk level (low/moderate/high)
• Main risk factors
• Quantified risk score
• Risk reduction strategies
• Screening recommendations

Acne severity assessment

Comprehensive assessment based on the following factors:

• Acne type (blackheads, whiteheads, inflammatory papules, nodules, cysts)
• Number and distribution of lesions
• Degree of inflammation
• Risk of scar formation

Severity grading：

• Mild: Mainly blackheads and whiteheads, a small number of inflammatory lesions
• Moderate: More inflammatory lesions, possible mild scarring
• Severe: Nodules and cysts, high risk of scarring

Output content：

• Severity grading
• Analysis of main triggers
• Treatment recommendation reference
• Skincare recommendations
• Medical consultation recommendations

Allergy risk identification

Comprehensive assessment based on the following factors:

• Known allergens
• History of skin sensitivity
• Product use history
• Seasonal allergy patterns
• Family allergy history

Output content：

• Allergen list
• Risk assessment
• Avoidance recommendations
• Alternative product recommendations

Photoaging risk prediction

Comprehensive assessment based on the following factors:

• Total sun exposure
• Protection habits
• Skin type
• Age
• Lifestyle

Output content：

• Photoaging risk level
• Current signs of photoaging
• Prevention recommendations
• Treatment option reference

3. Correlation analysis

Correlation with the nutrition module

Effects of nutrients on skin health：

• Vitamin A: skin cell renewal, vision
• Vitamin C: collagen synthesis, antioxidant
• Vitamin E: antioxidant, protects cell membranes
• Omega-3 fatty acids: anti-inflammatory effects
• Zinc: wound healing, oil control
• Water: skin hydration

Effects of food on skin problems：

• High-sugar foods: acne aggravation
• Dairy products: acne trigger in some people
• Spicy foods: rosacea aggravation
• Alcohol: skin dehydration, flushing

Skin manifestations of nutritional deficiencies：

• Vitamin A deficiency: dry skin, keratosis
• Vitamin C deficiency: slow wound healing, easy bruising
• Vitamin B deficiency: dermatitis, angular cheilitis
• Iron deficiency: pallor, fragility
• Protein deficiency: skin laxity, edema

Output content：

• Nutritional status assessment
• Deficiency risk identification
• Dietary adjustment recommendations
• Supplement recommendations (if needed)

Association with the Chronic Disease Module

Diabetes and the Skin：

• Diabetic skin disease (diabetic dermopathy)
• Delayed wound healing
• Increased risk of fungal infection
• Acanthosis nigricans
• Necrobiosis lipoidica

Autoimmune Diseases and the Skin：

• Lupus: malar rash, photosensitivity
• Rheumatoid arthritis: rheumatoid nodules, vasculitis
• Psoriatic arthritis: psoriatic lesions
• Dermatomyositis: Gottron sign, heliotrope rash

Thyroid Disease and the Skin：

• Hyperthyroidism: moist skin, thinning hair, loose nails
• Hypothyroidism: dry skin, coarse hair, edema

Liver Disease and the Skin：

• Jaundice: yellowing of the skin and sclera
• Spider angioma: vascular spider-like lesions
• Palmar erythema: redness of the palms
• Pruritus: cholestasis

Output Content：

• Analysis of associations between skin symptoms and diseases
• Complication risk assessment
• Comprehensive management recommendations
• Specialist referral recommendations

Association with the Medication Module

Drug eruption (drug allergy)：

• Common sensitizing drugs: antibiotics, antiepileptics, NSAIDs
• Rash types: morbilliform, urticarial, fixed drug eruption
• Severe reactions: Stevens-Johnson syndrome

Photosensitizing drugs：

• Tetracycline antibiotics
• Thiazide diuretics
• NSAIDs
• Certain antipsychotics

Drug-induced pigmentation：

• Minocycline: blue-gray pigmentation
• Amiodarone: blue-gray pigmentation
• Certain chemotherapy drugs

Drug-induced dry skin：

• Retinoids
• Benzodiazepines
• Antihistamines (long-term use)

Output Content：

• Drug risk identification
• Interaction analysis
• Alternative medication recommendations (discuss with a doctor)
• Monitoring recommendations

Association with the Endocrine Module

Effects of hormonal changes on the skin：

• Puberty: increased androgens, acne
• Pregnancy: pigmentation, stretch marks, cutaneous vascular changes
• Menopause: decreased estrogen, dry skin, wrinkles
• Menstrual cycle: cyclical acne worsening

Polycystic ovary syndrome (PCOS)：

• Acne
• Hirsutism
• Androgenetic alopecia
• Acanthosis nigricans

Cushing syndrome：

• Moon face, buffalo hump
• Skin thinning, purple striae
• Acne, hirsutism

Output Content：

• Analysis of hormonal effects on the skin
• Identification of cyclical symptoms
• Management recommendations
• Recommendations on treatment timing

4. Personalized Recommendations

Optimization of the skincare routine

Customized according to skin type：

• Dry skin: strengthen moisturizing, avoid over-cleansing
• Oily skin: control oil, maintain cleanliness, balance water and oil
• Combination skin: zone-based care, oil control in the T-zone, moisturizing in the U-zone
• Normal skin: maintain current condition, basic care
• Sensitive skin: gentle products, avoid irritation

Customized according to the main concern：

• Acne: cleansing, oil control, anti-inflammatory, avoid comedogenic ingredients
• Dark spots: sun protection, whitening ingredients, antioxidants
• Anti-aging: antioxidants, repair, sun protection
• Sensitivity: soothing, repair, barrier protection

Output content：

• Morning skincare routine recommendations
• Evening skincare routine recommendations
• Weekly care recommendations
• Product selection guidance
• Budget range recommendations

Lifestyle adjustments

Dietary adjustments：

• Low glycemic index diet (acne)
• Anti-inflammatory diet (eczema, psoriasis)
• Antioxidant foods (anti-aging)
• Adequate water intake

Sleep management：

• Ensure 7-9 hours of sleep
• Regular sleep schedule
• Bedtime skincare routine
• Pillow cleanliness (acne)

Stress management：

• Identify stress-induced skin problems
• Learn relaxation techniques
• Regular exercise
• Hobbies

Environmental adjustments：

• Indoor humidity control (dry skin)
• Avoid allergens (allergic skin)
• Workplace protection (occupational skin problems)

Output content：

• Personalized lifestyle recommendations
• Goal setting
• Progress tracking methods
• Incentive mechanisms

Preventive measure recommendations

Skin cancer prevention：

• Daily sun protection (SPF 30+)
• Avoid tanning beds
• Regular skin examinations
• Protect children from sun exposure
• Early detection of abnormal moles

Acne prevention：

• Cleanse skin properly
• Avoid touching the face
• Clean phones and glasses
• Frequency of changing pillowcases
• Non-comedogenic cosmetics

Eczema prevention：

• Keep skin moisturized
• Avoid known triggers
• Use gentle detergents
• Wear cotton clothing
• Control indoor temperature and humidity

Photoaging prevention：

• Year-round sun protection
• Antioxidant skincare products
• Do not smoke
• Adequate sleep
• Healthy diet

Output content：

• Targeted prevention strategies
• Prioritization
• Implementation steps
• Effect evaluation methods

Product selection recommendations

Ingredient knowledge：

• Acne treatment: salicylic acid, benzoyl peroxide, retinoids
• Whitening: vitamin C, niacinamide, arbutin
• Anti-aging: retinol, peptides, hyaluronic acid
• Moisturizing: hyaluronic acid, glycerin, ceramides
• Soothing: aloe vera, Centella asiatica, oats

Product selection principles：

• Choose according to skin type
• Avoid known allergens
• Simple ingredients are better than complex
• Fragrance-free formulas are safer
• Try a small package first

Read product labels：

• Identify comedogenic ingredients
• Identify allergens
• Understand active ingredient concentrations
• Understand product efficacy claims

Output content：

• Ingredient education
• Product recommendation framework (not specific brands)
• Avoid ingredient lists
• Product trial recommendations

5. Goal management

Goal setting

• Set realistic goals in consultation with the user
• Break down into achievable steps
• Set timelines
• Establish evaluation criteria

Common goal types：

• Improve acne condition
• Establish a regular skincare routine
• Increase sunscreen use frequency
• Reduce dark spots
• Improve dry skin
• Establish a regular self-check habit

Progress tracking

• Regularly evaluate goal achievement
• Provide motivation and feedback
• Adjust goals (if needed)
• Celebrate milestone achievement
• Record the improvement process

Obstacle identification

• Identify factors that hinder goal achievement
• Provide strategies to overcome obstacles
• Adjust plans to fit actual circumstances
• Provide ongoing support
• Connect resources and support networks

6. Statistical analysis

Comprehensive health score

Calculated based on the following factors:

• Skin problem control (30%)
• Skincare habits (25%)
• Sun protection (20%)
• Regular checkups (15%)
• Goal achievement (10%)

Score range: 0-100 points

• Excellent: 90-100 points
• Good: 75-89 points
• Fair: 60-74 points
• Poor: <60 points

Skin health age

• Calculated based on skin condition, problem status, and protective habits
• Compared with actual age
• Provide improvement suggestions

Problem statistics

• Problem type distribution
• Problem occurrence frequency
• Problem duration
• Resolution rate statistics
• Recurrence rate analysis

Skincare statistics

• Skincare routine execution rate
• Product use frequency
• Skincare spending statistics
• Product replacement frequency
• Adverse reaction statistics

7. Warning system

Mole change warning

• Abnormal increase in the number of new moles
• Rapid enlargement of existing moles
• Abnormal appearance of ABCDE features
• Changes in color or shape
• Symptoms appear (itching, bleeding)

Warning level：

• Yellow warning: Requires observation, consult a doctor at the next checkup
• Orange warning: Requires medical attention as soon as possible (within 1 week)
• Red warning: Requires immediate medical attention

Skin problem warning

• Sudden acne worsening
• New severe rash
• Signs of drug reaction
• Signs of infection (redness, swelling, heat, pain)
• Skin manifestations of chronic disease

Skincare warnings

• Adverse product reactions
• Improper skincare routine
• Signs of over-skincare
• Use of expired products
• Product interactions

Check reminders

• Regular skin self-check reminder (monthly)
• Dermatology check reminder (yearly)
• Mole monitoring reminder (monthly)
• Sunscreen reapplication reminder

Imported: Use cases

Scenario 1: Regular health assessment

User request: Analyze skin health over the past 6 months

Analysis process：

1. Read all skin health records from the past 6 months
2. Analyze problem records, mole monitoring, and skincare records
3. Assess changes in protection habits
4. Calculate changes in health score
5. Identify trends of improvement or worsening
6. Generate a comprehensive assessment report

Output content：

• Health score change trend
• Main areas of improvement
• Issues requiring attention
• Recommended next steps

Scenario 2: Mole monitoring and assessment

User request: I noticed a mole on my back has changed somewhat; help me assess it

Analysis process：

1. Retrieve the historical records of this mole
2. Compare changes in ABCDE features
3. Assess risk level
4. Check whether there are other abnormal moles
5. Analyze personal risk factors
6. Generate an assessment report

Output content：

• ABCDE assessment results
• Analysis of degree of change
• Risk level
• Medical advice (strongly recommend / recommend / observe)
• Monitoring frequency recommendation

Scenario 3: Acne management planning

User request: I want to improve my acne problem; create a management plan

Analysis process：

1. Assess the current severity of acne
2. Analyze the main triggering factors
3. Assess current skincare and dietary habits
4. Identify areas needing improvement
5. Set phased goals
6. Develop a personalized plan

Output content：

• Current severity assessment
• Analysis of main triggers
• Skincare routine recommendations
• Diet and lifestyle recommendations
• Goals and timeline
• Recommendations on when to seek medical care

Scenario 4: Sun protection improvement plan

User request: My sun protection habits are poor; help me create an improvement plan

Analysis process：

1. Assess current sun protection habits
2. Analyze sun exposure patterns
3. Assess skin type and risk
4. Identify main obstacles
5. Set achievable goals
6. Develop a progressive improvement plan

Output content：

• Current sun protection score
• Risk assessment
• Improvement goals
• Product selection recommendations
• Habit Formation Strategies
• Progress Tracking Methods

Scenario 5: Multidisciplinary Joint Analysis

User Request: I have diabetes. What effects does this have on my skin?

Analysis Process：

1. Read diabetes management data
2. Analyze blood glucose control status
3. Assess skin complication risk
4. Identify potential diabetic skin problems
5. Analyze the association between the two
6. Generate joint management recommendations

Output Content：

• Effects of diabetes on the skin
• Common diabetic skin problems
• Complication risk assessment
• Joint management strategies
• Monitoring indicator recommendations
• When to seek medical care

Scenario 6: Anti-Aging Planning

User Request: I want to prevent skin aging. What should I pay attention to starting now?

Analysis Process：

1. Assess current skin condition
2. Analyze lifestyle and habits
3. Assess photoaging risk
4. Identify modifiable risk factors
5. Develop prevention strategies
6. Establish monitoring indicators

Output Content：

• Current skin age assessment
• Main aging risk factors
• Prevention strategies (sun protection, skincare, lifestyle)
• Skincare routine recommendations
• Regular assessment recommendations
• Return on investment analysis

Imported: Data Analysis Methods

Quantitative Analysis

• Descriptive statistics (mean, median, standard deviation)
• Trend analysis (linear regression, moving average)
• Correlation analysis (Pearson/Spearman correlation)
• Risk score calculation (multifactorial weighting)
• Time series analysis

Qualitative Analysis

• Text description analysis
• Symptom pattern recognition
• Chief complaint content classification
• Satisfaction assessment
• Image analysis (if available)

ABCDE Assessment Algorithm

• Asymmetry score (0-2 points)
• Border irregularity score (0-2 points)
• Color uniformity score (0-2 points)
• Diameter score (0-2 points)
• Evolution score (0-2 points)
• Total score ≥4 points: recommend seeking medical care

Visualization Output

• Time series charts
• Body part distribution map
• Mole location map
• Risk assessment radar chart
• Progress tracking dashboard
• Comparative analysis bar chart

Imported: Quality Assurance

Data Validation

• Check data completeness
• Verify data consistency
• Identify outliers
• Handle missing data
• Cross-validate data from different sources

Result Validation

• Medical logic check
• Compare with clinical guidelines
• Expert review (if available)
• User feedback collection
• Regularly update algorithms

Continuous Improvement

• Regularly update analysis algorithms
• Incorporate new scientific evidence
• Optimize user experience
• Expanded functional scope
• Improved accuracy

Imported: Reference resources

Clinical guidelines

• American Academy of Dermatology (AAD) guidelines
• European Academy of Dermatology and Venereology (EADV) guidelines
• Chinese Society of Dermatology clinical guidelines
• Skin Cancer Foundation (SCF) guidelines

Assessment tools

• ABCDE rule (melanoma screening)
• Glasgow seven-point checklist (melanoma assessment)
• Acne severity scoring system
• Eczema Area and Severity Index (EASI)
• Dermatology Life Quality Index (DLQI)

Data sources

• User-recorded data
• Nutrition module data
• Chronic disease module data
• Medication module data
• Endocrine module data
• Environmental data (UV index)

Imported: Limitations

System limitations

• Cannot replace professional dermatological examination
• Cannot perform dermoscopy
• Cannot perform pathological examination
• Analysis results are affected by data quality
• Cannot perform biopsy

Data limitations

• Depends on accuracy of user records
• Records may be missing
• Subjective assessment may be biased
• Time span may be insufficient
• Photo quality affects assessment

Recommendation limitations

• Cannot consider all individual factors
• Cannot predict all complications
• Needs to be combined with clinical judgment
• Cannot guarantee 100% accuracy
• Product recommendations may vary between individuals

Imported: Future expansion

Planned features

• AI image recognition (mole and skin lesion analysis)
• Voice record entry
• Smart reminder system
• Integration with dermatologist systems
• Teledermatology support

Research directions

• Machine learning prediction models
• Personalized prevention strategies
• Genetic risk analysis
• Skin microbiome analysis
• Environmental factor impact analysis

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Version: v1.0.0 Last updated: 2025-01-06 Maintainer: WellAlly Tech

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.