CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

autoplan

Auto-review pipeline — reads the full CEO, design, and eng review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. Surfaces taste decisions (close approaches, borderline scope, codex disagreements) at a final approval gate. One command, fully reviewed plan out. Use when asked to "auto review", "autoplan", "run all reviews", "review this plan automatically", or "make the decisions for me". Proactively suggest when the user has a plan file and wants to run the full review gauntlet without answering 15-30 intermediate questions.

Quality

80%

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 ./skills/gstack/.agents/skills/gstack-autoplan/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

62%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 autoplan pipeline itself is a model of actionable, well-validated workflow design with concrete commands, prompts, and checklists. However, nearly half the file is duplicated framework boilerplate that inflates token cost, and the single-file monolith structure works against progressive disclosure.

Suggestions

Extract the shared gstack boilerplate (Preamble, Voice, AskUserQuestion Format, Completeness Principle, Contributor Mode, Telemetry) into a common reference file — the skip lists for loaded sibling skills confirm this content is duplicated verbatim across skills.

Trim or relocate the onboarding flows (lake intro, telemetry consent, proactive prompt, ~150 lines of first-run AskUserQuestion scripts) that have nothing to do with the auto-review pipeline itself.

Fix the dangling reference in 'Prerequisite Skill Offer': it triggers on 'the design doc check above' printing 'No design doc found', but no design-doc check appears before that section in this file — add the initial check or point to the exact step that performs it.

DimensionReasoningScore

Conciseness

Roughly 450 of ~1050 lines are shared gstack boilerplate (preamble bash, telemetry/lake-intro/proactive onboarding flows, Voice, AskUserQuestion Format, Contributor Mode) unrelated to the autoplan task, making the body noticeably padded; it is not a 1 because the pipeline-specific sections are dense and do not explain concepts Claude already knows.

2 / 5

Actionability

Provides exact executable bash (restore-point capture, codex exec prompts, gstack-review-log calls), copy-paste subagent prompts, and concrete file paths; minor gaps keep it below 5 — placeholders like <plan_path>/SKILL_NAME/N and a dangling reference ('When the design doc check above prints...' with no such check present earlier in this file).

4 / 5

Workflow Clarity

Exemplary sequencing: strict CEO → Design → Eng order, phase-transition summaries, pre-phase checklists, a pre-gate verification with an explicit go-back-and-retry feedback loop ('Max 2 attempts'), and bounded gate re-run cycles (option D, max 3 cycles).

5 / 5

Progressive Disclosure

No bundle files exist and the ~1000-line body is a monolith with good headers and clearly signaled on-disk skill reads, but the shared boilerplate sections (Voice, Telemetry, Completeness Principle — duplicated across sibling skills per the skip lists) clearly belong in a separate shared reference file, matching the some-structure-but-should-be-split anchor.

3 / 5

Total

14

/

20

Passed

Description

91%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 strong description: concrete third-person capability statements, an explicit 'Use when' clause with multiple natural trigger phrases, and a clear niche. The only weaknesses are slightly meta-level action descriptions and minor trigger overlap with the individual review skills it composes.

DimensionReasoningScore

Specificity

Lists several concrete actions — 'reads the full CEO, design, and eng review skills from disk', 'runs them sequentially with auto-decisions using 6 decision principles', 'Surfaces taste decisions... at a final approval gate' — but the actions are somewhat meta-level and coverage of what the reviews actually entail has minor gaps, so it sits between the several-specific-actions (4) and comprehensive (5) anchors.

4 / 5

Completeness

Explicitly answers both 'what' (sequential auto-review pipeline with named mechanics) and 'when' ('Use when asked to...' with concrete trigger phrases), matching the anchor for clear and explicit what-and-when coverage.

5 / 5

Trigger Term Quality

Includes five natural trigger phrasings users would actually say — "auto review", "autoplan", "run all reviews", "review this plan automatically", "make the decisions for me" — plus a proactive-suggestion context, giving comprehensive natural-term coverage for this domain.

5 / 5

Distinctiveness Conflict Risk

Clear niche (the full automated review pipeline) with distinct triggers, but 'review this plan automatically' and 'run all reviews' have minor overlap risk with the individual /plan-ceo-review, /plan-design-review, and /plan-eng-review skills it orchestrates, placing it just below minimal-conflict (5).

4 / 5

Total

18

/

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

skill_md_line_count

SKILL.md is long (1062 lines); consider splitting into references/ and linking

Warning

Total

15

/

16

Passed

Repository

valeriibeck-star/claude-skills

Path

skills/gstack/.agents/skills/gstack-autoplan/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.