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research-implement-feature

Build a working artifact from a plain "implement X for me" request: a running end-to-end spine first, then one feature per rung, with every under-determined decision written to an assumption ledger BEFORE the code that depends on it and a cross-model sweep for the ones that slipped through undeclared. Use when user says "给我实现", "implement X", "帮我做一个能跑的", "先搭个原型再加功能", "build this feature", "prototype then extend", or hands over a capability description rather than an experiment plan.

Quality

87%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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.

An exceptionally actionable, well-sequenced multi-phase workflow with strong validation discipline and concrete templates throughout. The main cost is token efficiency — recurring justificatory prose repeats the same two rationales multiple times, and large prompt/example blocks could live in reference files.

Suggestions

State the same-family-blindness rationale once (e.g. in shared-references/reviewer-independence.md, already linked) and reduce its four to five restatements in the intro, acceptance-gate table, Phase 4 preamble, and anti-patterns list to single-clause pointers.

Move the verbatim Phase 4 sweep prompt into a reference file (e.g. shared-references or a bundle reference) and keep only its invocation contract and scope-limit headline inline, cutting ~60 lines from the always-loaded body.

Consolidate the declare-before-act rationale (two invariants section, Phase 0 step 3, anti-patterns) into one canonical statement, keeping the later mentions as one-line cross-references.

DimensionReasoningScore

Conciseness

The body is dense operational instruction rather than concept explanation, but the same-family-blindness rationale is restated at least five times (intro, acceptance-gate provenance, Phase 4 routing, anti-patterns) and the declare-before-act rationale three times — real tightening is available without losing operational content.

3 / 5

Actionability

Fully executable throughout: exact artifact paths and markdown schemas for the ledger and ladder, a verbatim Phase 4 reviewer prompt with a concrete JSON config block, exit-code acceptance checks, and a complete worked example covering the common case.

5 / 5

Workflow Clarity

Phases 0–5 are clearly sequenced with explicit validation checkpoints (per-rung one-command checks, re-running all earlier rungs, fix budgets, batch points, sweep re-rounds, blocker protocol) and feedback loops for error recovery at every failure point.

5 / 5

Progressive Disclosure

Shared policy is well externalized to one-level-deep, clearly-signaled links (effort contract, reviewer routing, acceptance gates) plus a See Also section, but no bundle files exist alongside the skill to verify those targets, and the ~60-line verbatim Phase 4 prompt and full worked example are inlined candidates for extraction into reference files.

4 / 5

Total

17

/

20

Passed

Description

96%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 multi-action capability statement, explicit bilingual trigger phrases, and a clear 'Use when' clause that disambiguates this skill from its research-pipeline siblings. Only minor overlap risk with generic implementation requests.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — 'a running end-to-end spine first, then one feature per rung', 'every under-determined decision written to an assumption ledger', 'a cross-model sweep' — comprehensively covering the skill's workflow; no vague filler or buzzwords.

5 / 5

Completeness

Explicitly answers both what (build spine-first artifact with assumption ledger and cross-model sweep) and when ('Use when user says…') with concrete trigger phrases, matching the anchor-5 example structure.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases with synonyms in both English ('implement X', 'build this feature', 'prototype then extend') and Chinese ('给我实现', '帮我做一个能跑的', '先搭个原型再加功能') — phrases users would actually say.

5 / 5

Distinctiveness Conflict Risk

'hands over a capability description rather than an experiment plan' carves out a clear niche, but 'build this feature' / 'implement X' carry minor overlap risk with closely related generic implementation skills; mostly distinct rather than minimal-conflict.

4 / 5

Total

19

/

20

Passed

Validation

68%

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

Validation — 11 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (595 lines); consider splitting into references/ and linking

Warning

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

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

Warning

relative_links

Relative link issues: 16 suspicious

Warning

referenced_paths_exist

Referenced path issues: 3 missing

Warning

Total

11

/

16

Passed

Repository

wanshuiyin/Auto-claude-code-research-in-sleep

Path

skills/research-implement-feature/SKILL.md

Reviewed

Table of Contents

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