CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

implement-task

Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

Quality

68%

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

Fix and improve this skill with Tessl

tessl review fix ./plugins/sdd/skills/implement-task/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

70%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.

The content is highly actionable with an exceptionally clear, well-validated workflow, but it is significantly over-long and over-repeated, hurting token efficiency, and it is monolithic with no bundle files to split detail into one-level-deep references.

Suggestions

Consolidate the rules restated in Configuration Rules, Execution & Evaluation Rules, Anti-Rationalization, and the final Checklist into a single authoritative section to cut repetition.

Move the eight worked Usage Examples and the large Execution Flow Diagram into a referenced file (e.g. EXAMPLES.md) so SKILL.md stays a lean overview.

Trim the verbose blast-radius prose; the worked Cases A/B anchor already conveys the principle, so the surrounding elaboration can be tightened without losing clarity.

DimensionReasoningScore

Conciseness

The body is severely verbose — 1685 lines with the same rules restated multiple times (Configuration Rules, Execution Rules, Checklist, Anti-Rationalization, repeated inline warnings) — so much repetition crosses from reinforcement into padding.

2 / 5

Actionability

Dispatch prompts, exact 4-input reviewer contract, threshold pseudocode, git commands, and worked session logs are all copy-paste ready and cover the common cases end-to-end.

5 / 5

Workflow Clarity

Workflow Phases 0-5 are explicitly sequenced with a checkpoint before DoD, clear PASS/FAIL feedback loops, blast-radius reasoning steps, and an 8-item self-verification checklist — validation checkpoints are explicit throughout.

5 / 5

Progressive Disclosure

All material lives in a single 1685-line SKILL.md with no reference/asset files; structure is good (numbered phases, tables, diagrams) but content that would benefit from one-level-deep split is inlined rather than referenced.

3 / 5

Total

15

/

20

Passed

Description

53%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.

The description conveys a clear, specific capability (step-by-step task implementation with automated per-phase LLM-as-Judge verification) and is third-person, but it omits an explicit 'Use when...' trigger clause, which caps completeness and weakens trigger-term quality.

Suggestions

Add an explicit 'Use when...' trigger clause (e.g. 'Use when implementing a planned task file with per-phase quality gates, code review, or automated verification').

Expand the action list to name the orchestration verbs the skill performs (dispatch sub-agents, aggregate reports) rather than only 'implement' and 'verify'.

Include natural user-facing keywords like 'code review', 'quality gate', and 'sub-agent' so the skill surfaces when a user asks for verified implementation.

DimensionReasoningScore

Specificity

The description names the domain ('task implementation', 'LLM-as-Judge verification') and two concrete actions ('Implement a task step by step', 'automated verification at the end of each phase'), but it is not a comprehensive action list — it omits dispatch, blast-radius reasoning, and reporting.

3 / 5

Completeness

It clearly answers 'what' (step-by-step implementation with per-phase LLM verification) but the 'when' is only weakly implied — there is no explicit 'Use when...' clause or trigger guidance, which caps completeness at 3 per the guidelines.

3 / 5

Trigger Term Quality

It surfaces relevant terms ('task', 'phase', 'verification') but lacks the natural trigger phrases a user would actually say (e.g. 'implement', 'code review', 'quality gate') and synonyms, leaving common variations missing.

3 / 5

Distinctiveness Conflict Risk

The per-phase LLM-as-Judge verification niche is fairly distinct from generic implementer skills; minor overlap risk remains with plain task-execution skills, but the verification framing keeps conflict risk low.

4 / 5

Total

13

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (1686 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository

NeoLabHQ/context-engineering-kit

Path

plugins/sdd/skills/implement-task/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.