cindula/nextsteps
Intelligent next-steps engine with personality-driven suggestions. Generates dynamic, context-aware follow-up actions with expert mentorship tone, pattern recognition, and trust-building mechanics. Features 4 personality profiles (Friendly Expert, Chill Buddy, Straight Shooter, Thoughtful Mentor), confidence markers, and session continuity. Leverages persistent memory, self-improving preference learning, and concise signal-dense suggestions to psychically anticipate what users need next. Use when: (1) user completes a question or task, (2) user needs guidance on what to do next, (3) agent wants to proactively suggest trusted follow-up actions.
96
94%
Does it follow best practices?
Impact
99%
1.32xAverage score across 5 eval scenarios
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-crafted skill description that excels across all dimensions. It provides specific concrete actions, comprehensive natural trigger terms, explicit 'Use when' guidance with four enumerated scenarios, and occupies a distinct niche. The description uses proper third-person voice throughout and avoids vague language or buzzwords.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'append context-aware next-step suggestions', 'generates actionable follow-ups', 'surfaces unfinished tasks from memory', 'includes at least one creative lateral suggestion', and 'self-learns user preferences for count, categories, and format'. | 3 / 3 |
Completeness | Clearly answers both 'what' (generates actionable follow-ups, surfaces unfinished tasks, includes creative lateral suggestions, self-learns preferences) and 'when' with an explicit numbered 'Use when:' clause covering four distinct trigger scenarios. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would say: '/nextsteps', 'next steps', 'what should I do', 'suggestions', 'what now', 'disable next steps', 'enable next steps', plus customization-related terms like 'count', 'categories', 'format'. | 3 / 3 |
Distinctiveness Conflict Risk | Occupies a clear niche as a post-response suggestion engine with distinct triggers like '/nextsteps' and 'what now'. The concept of appending next-step suggestions after every agent response is quite specific and unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, highly actionable skill with excellent progressive disclosure and clear multi-step workflows. Its main weakness is moderate verbosity — the mandatory activation rule is stated three times (top, Step 6 area, and bottom reliability self-check), and some sections like model-specific tuning and channel adaptation add limited value. Overall it's a strong skill that could benefit from trimming redundant emphasis and speculative sections.
Suggestions
Remove the redundant mandatory activation reminders — stating it once at the top and once as the final reliability self-check is sufficient; the opening bold paragraph is overly emphatic.
Trim or remove the 'Model-specific tuning' section, which is mostly placeholder content with example comments rather than actionable guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly long (~200 lines) and includes some sections that could be tightened (e.g., the model-specific tuning section is mostly placeholder, channel adaptation is speculative, and the mandatory activation rule is repeated multiple times). However, most content is genuinely instructive and not explaining things Claude already knows. | 2 / 3 |
Actionability | The skill provides highly concrete, executable guidance: specific file paths, exact format templates with icons and markdown, a clear 6-step pipeline, specific detection patterns for customization commands, precise logging formats like '[SELECTED] #N category', and exact file size limits. The category table with slot rules is particularly actionable. | 3 / 3 |
Workflow Clarity | The 6-step generation pipeline is clearly sequenced with an explicit self-review gate (Step 5) serving as a validation checkpoint. Error recovery is well-defined with specific fallback behaviors. The selection tracking and self-improvement cycles include clear feedback loops. The reliability self-check at the end acts as a final validation step. | 3 / 3 |
Progressive Disclosure | The skill provides a clear overview with well-signaled one-level-deep references to COLD-START.md, CATEGORIES.md, ANTI-PATTERNS.md, CUSTOMIZATION.md, SELF-IMPROVE.md, and SECURITY.md. Detailed taxonomies and protocols are appropriately deferred to reference files while the main skill retains enough context to be independently useful. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Reviewed
Table of Contents