CtrlK
BlogDocsLog inGet started
Tessl Logo

improving-prompts

Use when optimizing CLAUDE.md, AGENTS.md, custom commands, or skill files — diagnose the concrete failure first, then apply current documented Anthropic best practices (explicit instructions, context/motivation, examples, output and verbosity control, thinking/effort, CLAUDE.md size and skill-description rules) instead of inventing improvements. Triggers when a prompt isn't followed, a skill won't activate, CLAUDE.md is too long or ignored, or migrating prompts to current Claude models.

75

Quality

92%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

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

The body is well-structured and actionable, with a clear sequenced process, explicit gating checkpoint, and a clean one-level-deep reference to a real bundle file. Its main weakness is conciseness: the central anti-invention message is reinforced across several sections, adding redundant tokens without new information.

Suggestions

Consolidate the redundant anti-invention messaging: the Overview, 'The Core Problem', and 'Stop If You Catch Yourself' table all restate 'don't invent improvements — get a concrete issue first'; merge them into a single section to recover tokens.

Trim the 'Stop If You Catch Yourself' table from 8 rows to the 3–4 highest-value failure modes, since several rows overlap with 'The Core Problem' bullets.

Move the enumerated best-practice categories out of the description and rely on the body/reference for that detail, keeping the description focused on triggers.

DimensionReasoningScore

Conciseness

The body is mostly efficient and does not explain basic concepts Claude already knows, but the core 'do not invent improvements, get a concrete issue first' message is restated across the Overview, 'The Core Problem', the 8-row 'Stop If You Catch Yourself' table, and Step 1, which is redundancy that could be tightened. Not a 1 because it is not padded with generic background Claude knows; not a 3 because the repeated anti-invention emphasis across four sections does not earn every token.

2 / 3

Actionability

Provides concrete, actionable guidance for an instruction-only skill: before/after phrasings ('NEVER use ellipses' → 'Never use ellipses because…'), explicit valid/invalid 'concrete issue' examples, and a copy-pasteable Issue→Fix table ('Change "Can you…" to imperative "Do X"'). Not a 2 because the guidance is specific and immediately usable rather than abstract or pseudocode-level.

3 / 3

Workflow Clarity

The 'Required Process' is a clearly sequenced four-step workflow with an explicit gating checkpoint in Step 1 ('Do NOT proceed with generic improvements based on assumptions') and a self-correction checklist (the 'Stop If You Catch Yourself' table). Not a 2 because checkpoints are explicit, not merely implicit; this skill does not involve destructive/batch operations, so the missing-feedback-loop cap does not apply.

3 / 3

Progressive Disclosure

SKILL.md serves as the overview while the full guidance is delegated one level deep to a clearly signaled, verified-real file ('See references/anthropic-best-practices.md for the full reference'), with content appropriately split. Not a 2 because the reference is well-signaled and exactly one level deep with no nested indirection.

3 / 3

Total

11

/

12

Passed

Description

100%Weight 40%Scale 1-3

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

The description is specific, complete, and distinctive, with explicit 'Use when'/'Triggers when' guidance and natural trigger terms a user would actually say. It uses the standard third-person/imperative trigger pattern (like the good examples) rather than first or second person, so no voice penalty applies.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'diagnose the concrete failure first, then apply current documented Anthropic best practices' — plus an enumerated category list (explicit instructions, context/motivation, examples, output and verbosity control, thinking/effort), matching the 'lists multiple specific concrete actions' anchor. Not a 2 because it goes beyond naming a domain and a few actions into a comprehensive, specific action set.

3 / 3

Completeness

Explicitly answers both what ('optimizing CLAUDE.md, AGENTS.md, custom commands, or skill files — diagnose the concrete failure first, then apply current documented Anthropic best practices') and when ('Use when optimizing…', 'Triggers when a prompt isn't followed…'). Not a 2 because the 'when' is stated with explicit triggers, not merely implied.

3 / 3

Trigger Term Quality

Includes natural phrases users would actually say — 'a prompt isn't followed', 'a skill won't activate', 'CLAUDE.md is too long or ignored', 'migrating prompts to current Claude models' — giving good coverage of common variations. Not a 2 because it covers multiple natural trigger phrasings rather than a single generic keyword.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche — diagnosing a concrete failure then applying documented Anthropic practices rather than inventing improvements — with distinct triggers unlikely to fire for unrelated skills. Not a 2 because the framing (concrete-failure-first, documented practices only) sharply distinguishes it from generic 'improve my prompt' skills.

3 / 3

Total

12

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
joshuadavidthomas/agent-skills
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.