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architect-implement

architect-implement is a skill for Claude Code from tikalk/adlc-team-skills. It costs 41 tokens per session (12,513 once invoked), scanned A, original, MIT.

A documentation tool that turns accepted Architecture Decision Records—documents explaining important technical choices—into one unified description of how the system is structured.

In plain words
What is it for?
Use it after architectural decisions have been accepted to document subsystems, their relationships, and the resulting system design.
Why use it?
It removes the need to assemble architecture documentation manually and helps keep the description aligned with approved decisions.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

not rated 132repo changed yesterday A scan SkillSpector: warn 41 tokens original MIT

Good fit Use it after architectural decisions have been accepted to document subsystems, their relationships, and the resulting system design.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tikalk/adlc-team-skills/architect-implement
View source ↗ tikalk/adlc-team-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tikalk/adlc-team-skills --skill architect-implement
Clone the repo
git clone --depth 1 https://github.com/tikalk/adlc-team-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for architect-implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/tikalk/adlc-team-skills/architect-implement.svg)](https://agentmods.dev/skills/tikalk/adlc-team-skills/architect-implement)
Your own site
<a href="https://agentmods.dev/skills/tikalk/adlc-team-skills/architect-implement"><img src="https://agentmods.dev/badge/skills/tikalk/adlc-team-skills/architect-implement.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,513 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 474
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.12513
Opus 5 $0.00020 $0.06256
Sonnet 5 $0.00008 $0.02503
Haiku 4.5 $0.00004 $0.01251

Measured yesterday against content hash bde29b05771b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

architect-implement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/bash/ascii-generator.sh, scripts/bash/common.sh, scripts/bash/mermaid-generator.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/architect/architect-implement/SKILL.md · 1,277 lines

How it starts

The opening of the file, as written. The whole thing — 1,277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

architect-implement

What this skill does

Generate a full Architecture Description (AD.md) from Architecture Decision Records (ADRs) using a multi-agent DAG orchestration approach:

  1. Plan Agent: Analyze ADRs, detect sub-systems, generate a customized DAG, and get user approval.
  2. Execute Agent: Generate architecture views per sub-system following the DAG, with dependency context passing.
  3. Summarize Agent: Aggregate all views, resolve cross-subsystem conflicts, and generate a unified AD.md.

Key Insight: ADRs capture why decisions were made; the Architecture Description captures what the system looks like as a result of those decisions.

When to use

  • After /architect-specify or /architect-clarify: Generate AD from discussed and accepted ADRs.
  • After /architect-init: Document brownfield architecture.
  • ADR Updates: Regenerate AD.md after new decisions.
  • Documentation Sprint: Create comprehensive architecture docs.

When NOT to use

  • No ADRs exist: Use /architect-specify or /architect-init first.
  • Feature-level: Feature AD is generated during the feature's plan phase, not by this skill.
  • Minor updates: Use direct editing for small changes.

Process

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Examples of User Input:

  • "Focus on deployment and operational views - we need infrastructure docs"
  • "Generate all views with emphasis on security perspective"
  • "Update existing AD.md with new ADRs from recent decisions"
  • Empty input: Generate complete Architecture Description from all ADRs

Flags

  • --views VIEWS: Architecture views to generate

    • core (default): Context, Functional, Information, Development, Deployment (5 core views)
    • all: All 7 views including Concurrency and Operational
    • Custom: comma-separated (e.g., concurrency,operational) - always includes core views

  • --sequential (default): Execute views sequentially for maximum quality

    • Recommended: Allows checkpoint after Functional view

  • --parallel: Allow parallel execution where dependency chains permit

    • Warning: May reduce cross-view consistency - use only when time-constrained

Read the full file on GitHub · 1,277 lines

Files

What ships with it

26 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday Changed · +3 lines bde29b05771b
  2. 8d ago First seen · 1,274 lines · 41 tokens per session scan A db28ebffb1a2

Subscribe to this mod's changes

architect-implement is a skill published in the GitHub repository tikalk/adlc-team-skills (132 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 12,513 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

PlanningWriting and docsadragent-skillsagentic-sdlcai-codingdeveloper-toolsevals
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