CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

what-next

Use when the user asks what to do next, asks for a plan under uncertainty, challenges stalled or low-trust work, requests multiple possible approaches before action, or needs an evidence-first loop that uses RT-ICA-style prerequisite checks, adversarial review, subagent coordination, real validation, and durable concern tracking.

65

Quality

82%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

81%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-engineered, highly actionable process skill: every step has a concrete template or routing rule, and validation is woven in as explicit gates and checkpoints rather than afterthoughts. The only real costs are redundancy between the core-loop summary and the step sequence, and its monolithic length for a self-contained skill with no reference files.

DimensionReasoningScore

Conciseness

The body is dense and prescriptive with no explanations of concepts Claude already knows, but it is not fully lean: the core-loop diagram at the top duplicates the 11-step sequence, and the Step 3 reflection checkpoint ('Is this present, evidence-derived, partial, missing, or hard-blocked?') restates the classification list directly above it. These minor redundancies could be trimmed.

4 / 5

Actionability

Concrete, copy-paste-ready formats appear throughout: the goal frame template, the '[Condition] | Requires: | Why it matters:' row format, the verbatim adversarial-review subagent brief, the execution-gate checklist, the concern block, and the full Output Contract. It stops short of 5 because every template is unfilled placeholders with no worked example demonstrating one complete pass through the loop.

4 / 5

Workflow Clarity

Eleven explicitly sequenced steps with validation checkpoints at every phase: the Step 3 reflection checkpoint, the Step 8 execution gate ('First validation that can prove this wrong'), Step 10 real-mechanism validation with concrete if/then examples, an explicit failure loop ('If validation cannot run, record the exact blocker and do not claim the goal is complete'), and a repeat in the core loop. This matches the anchor of clear sequence, explicit validation, and feedback loops for error recovery.

5 / 5

Progressive Disclosure

No bundle files exist and the skill is self-contained with clear section headers and a coherent single flow, giving good structure and easy navigation. It is not 5 because at ~270 lines the detailed step templates (Steps 2-11) could be split into a reference file with SKILL.md kept as overview plus core loop and output contract, which is the anchor-5 structure for a skill this size.

4 / 5

Total

17

/

20

Passed

Description

75%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A solid description with an explicit and multi-trigger 'Use when' clause and several named concrete techniques. Its main weakness is that the 'what' is expressed indirectly inside the trigger clause and leans on internal jargon ('RT-ICA-style', 'durable concern tracking') that a user would never say, slightly degrading both clarity and trigger naturalness.

Suggestions

State the 'what' directly in third person before the triggers, e.g. 'Chooses and executes the next work move by reconstructing goals, reversing prerequisites, and adversarially selecting among candidate approaches.'

Replace or gloss internal jargon ('RT-ICA-style', 'durable concern tracking') with plain-language equivalents a user would recognize.

Add a few natural trigger synonyms users actually say, such as 'stuck', 'blocked', 'next steps', or 'which approach to take'.

DimensionReasoningScore

Specificity

The description lists several concrete actions ("RT-ICA-style prerequisite checks, adversarial review, subagent coordination, real validation, and durable concern tracking"), meeting the several-specific-actions anchor. It falls short of 5 because the actions are framed as mechanisms the loop 'uses' rather than capabilities it performs, and the opaque jargon ('RT-ICA-style', 'durable concern tracking') blurs what actually happens.

4 / 5

Completeness

Both 'what' and 'when' are explicitly present: the 'when' is a strong explicit 'Use when' clause with concrete triggers, and the 'what' is stated as an "evidence-first loop" with named components. It does not reach 5 because the 'what' is embedded inside the when-clause ("or needs an evidence-first loop that uses...") rather than stated as a direct capability, which is the anchor-5 form.

4 / 5

Trigger Term Quality

Natural user phrasings are present: "asks what to do next", "plan under uncertainty", "stalled or low-trust work", "requests multiple possible approaches". It is not 5 because common synonyms like 'stuck', 'blocked', 'next steps', or 'roadmap' are absent, leaving a few natural terms missing.

4 / 5

Distinctiveness Conflict Risk

The triggers are unusual and specific (stalled or low-trust work, adversarial review, evidence-first looping, concern tracking), carving a distinct meta-planning niche with minimal conflict risk. Minor overlap remains with generic planning or prioritization skills via "asks for a plan under uncertainty".

4 / 5

Total

16

/

20

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

Jamie-BitFlight/claude_skills

Path

.codex/skills/what-next/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.