CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

recipe-build

Execute materialized task files in autonomous execution mode

Quality

73%

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 ./dev-workflows-fullstack/skills/recipe-build/SKILL.md
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.

This is a well-engineered orchestration recipe: a clearly sequenced 4-step execution cycle with strong validation gates, feedback loops, and checklists, plus concrete subagent invocations and result-field contracts. Weaknesses are modest — some repetition of the consumed-task-set pattern and heavy dependence on external companion-skill definitions that are named but not included. Overall the content is strong and near the top of the rubric.

DimensionReasoningScore

Conciseness

The body is dense, imperative, and free of concept explanations Claude already knows, but the restricted `{plan-name}-task-*.md` pattern is restated three times and the Review Resolution / Specialist Result Acceptance gating language repeats across sections. This matches 'efficient; minor instances of over-explanation that could be trimmed' rather than the fully lean anchor 5.

4 / 5

Actionability

Concrete, executable guidance throughout: exact subagent_type values (e.g. "dev-workflows-fullstack:task-decomposer"), a literal Agent prompt string, named result fields (diffBase, mutationEvidence, qualityIssues), a decision table, and a completion-report contract. Not score 5 because several key behaviors ('Apply Specialist Result Acceptance', 'Review Resolution') resolve only to external skills whose content is not shown here.

4 / 5

Workflow Clarity

The mandatory 4-step cycle (execute → branch on executor result → quality-fix → commit) is explicitly sequenced with validation gates ('Commit only after quality-fixer returns pass or verification_incomplete'), feedback loops ('Return to step 1', recompute and rerun), a pre-execution checklist, and defined handling for escalation and deletion failures. This matches the anchor with explicit validation steps, error-recovery loops, and checklists for a complex batch process.

5 / 5

Progressive Disclosure

No bundle files exist in this skill; the body is organized into eight clear sections and defers detail one level deep to named companion skills, with its single file reference (references/review-resolution.md) clearly attributed to the subagents-orchestration-guide skill. Good structure with minor gaps — the skill exceeds 50 lines and some dense cross-referencing prose (e.g. the Execution Protocol block) could live in a reference file — so it fits anchor 4 rather than 5.

4 / 5

Total

17

/

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 is concise and names a specific niche, but it covers only a fraction of the skill's actual capabilities and provides no trigger guidance for when to use it. Heavy reliance on internal jargon ("materialized", "autonomous execution mode") further weakens discoverability. It is serviceable but clearly below the good-example bar.

Suggestions

Add an explicit 'when' clause, e.g. 'Use when the user provides a work plan or asks to execute/run materialized task files autonomously.'

Replace internal jargon with natural user vocabulary: pair 'materialized task files' with plain terms like 'run the tasks in a work plan' so the description matches what users actually say.

Broaden the action list to reflect the skill's real scope (materialize tasks, run execute/quality-fix/commit cycles, post-implementation review, cleanup and reporting) instead of only 'execute'.

DimensionReasoningScore

Specificity

"Execute materialized task files in autonomous execution mode" names one concrete action on a specific domain, matching the '1-2 concrete actions, but not comprehensive' anchor. It omits the broader actions the skill actually performs (task materialization, quality-fix cycles, commits, review, cleanup), so it is not score 4.

3 / 5

Completeness

The 'what' is stated (execute materialized task files autonomously) but there is no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines. Not score 4 because the 'when' is entirely absent rather than merely imprecise.

3 / 5

Trigger Term Quality

"Execute" and "task files" are relevant keywords, but "materialized task files" and "autonomous execution mode" are internal jargon rather than phrases a user would naturally say, and common variations ("run tasks", "work plan") are absent. This sits above the 'one or two generic keywords' anchor but lacks the synonym coverage of score 4.

3 / 5

Distinctiveness Conflict Risk

"Materialized task files" and "autonomous execution mode" carve a fairly distinct niche among development-workflow skills with only minor overlap risk against sibling execution skills. Not score 5 because no distinct trigger phrases are given to fully separate it from related orchestration skills.

4 / 5

Total

13

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

15

/

16

Passed

Repository

shinpr/claude-code-workflows

Path

dev-workflows-fullstack/skills/recipe-build/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.