Dev & Engineering

_shared (Shared SDD References)

Shared reference documents for installed SDD skills. Not invokable.

52/ 100
Use with care

Useful, but reliability, evidence or controls still have material gaps.

See how it was scored ↓
Works as-is in
Claude Code · Codex(Partial support)
Stars
★ 7.6k
Last updated
3d ago
License
MIT
sddshared-referencesspec-driven-developmentreference-documents

What does this skill do, and when should you use it?

A support-only skill that stores shared reference documents consumed by other SDD skills. It is not invokable and only serves as a resource directory. It is part of the Gentle-AI ecosystem and requires installing that monorepo.

Provides a directory of shared reference documents, such as sdd-phase-common.md and persistence-contract.md, which other skills read. It performs no operations and cannot be invoked as a skill.

Good fit
  • When other SDD skills need common specifications or references, they read from this directory.
  • As part of the Gentle-AI installation, to provide consistent foundational documents for SDD workflows.

How do you install this skill?

Before you use it
  • This skill is an internal shared reference, not independently invokable; actual use requires combination with other SDD skills.
  • The skill relies on external tools like Engram and gentle-ai, which may be inaccessible from mainland-China networks; assess availability.
  • Lacks version changelog and explicit maintenance responsibility declaration; update path is unclear.
Before you start
Your agent needs
  • Local filesystem

This skill is part of the Gentle-AI repository (MIT license) and requires installing the whole ecosystem. Use the official script: curl -fsSL https://raw.githubusercontent.com/Gentleman-Programming/gentle-ai/main/scripts/install.sh | bash (macOS/Linux) or PowerShell command (Windows). The skill lives at internal/assets/skills/_shared/SKILL.md.

Generic route: install into Claude Code manually (macOS / Linux)
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/Gentleman-Programming/gentle-ai.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/internal/assets/skills/_shared" ~/.claude/skills/
rm -rf "$tmp"

Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.

How do you use this skill?

The skill cannot be invoked directly; it is used internally by other SDD skills. No user action needed.

What are this skill's strengths and limitations?

Pros
  • Centralizes shared references, reducing duplication.
  • MIT licensed and freely usable.
Limitations
  • Not standalone; depends on the Gentle-AI ecosystem.
  • Limited direct utility; contents are not detailed.

How does this skill compare with similar options?

Side by side with related skills; every score comes from the same FSRS standard.

Skill FS score Stars Last updated License
_shared (Shared SDD References) this page 52 · Use with care ★ 7.6k 3d ago MIT
DeepChat SDD Documentation Cleanup Skill 50 · Use with care ★ 6.4k 3d ago Apache-2.0
DeepChat Spec-Driven Development Skill 58 · Recommended ★ 6.4k 3d ago Apache-2.0
SPARV Five-Phase Workflow 55 · Use with care ★ 2.8k 5mo ago AGPL-3.0
Loki Mode Autonomous SDLC Skill 53 · Use with care ★ 1.1k 3d ago NOASSERTION

How did FollowSkills review this skill?

FollowSkills review · FSRS-2.0
Use with care
52/ 100 5-point scale 2.6 / 5
The upstream repository has new commits since this review. The score still applies to the reviewed revision shown and may not cover the latest changes.
1Trust15 / 25 · 3.0/5

Evidence shows this skill is an internal shared reference, explicitly marked as not invokable, prohibiting invocation as a skill, which aligns with least privilege. Documentation emphasizes user confirmation (e.g., marking requires user confirmation) and limited permission operations; no overreach or data leakage risks found. However, missing explicit dependency security and external effect isolation disclosure lead to deductions.

2Reliability7 / 20 · 1.8/5

Static review cannot execute key paths; documentation depends on external tools (e.g., Engram, gentle-ai) whose availability is not verified here. The docs provide detailed failure handling, but lack automated test coverage, limiting reliability.

3Adaptability10 / 15 · 3.3/5

As a shared library, its purpose and non-invokable boundary are clear, audience is specific (SDD skill developers), and trigger conditions are clear. The skill is not directly invokable and primarily serves as reference; no direct impact on mainland-China network, but core functions rely on Engram which may be inaccessible, requiring cautious assessment.

4Convention10 / 15 · 3.3/5

Documentation is well-structured with naming rules, examples, and reference docs, but lacks versioning details (only metadata version field), changelog, and explicit maintenance responsibility. License is MIT, but update path is not mentioned, hence medium score.

5Effectiveness7 / 15 · 2.3/5

As internal reference, it mainly provides unified conventions to other SDD skills, reducing duplication and ensuring consistency. Static review cannot verify actual execution effect, and the marginal value of such reference docs is hard to quantify, hence lower score.

6Verifiability3 / 10 · 1.5/5

All documents are author-provided references with no executable tests or CI evidence, nor third-party verification, so only static review is possible with low confidence, resulting in very low score.

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Open a dimension to read why it scored that way

Reviewed Aug 07, 2026 Reviewed revision 1eb4b2602105 Review evidence[1][2][3][4][5][6][7][8][9][10][11]

Evidence confidence:Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.

See the full review method →

FAQ

Can this skill be used directly?
No, it is a support package and cannot be invoked as a skill.
Does it require separate installation?
No, it is installed as part of the Gentle-AI ecosystem.

More skills from this repository

All from Gentleman-Programming/gentle-ai

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