tikalk/adlc-team-skills

🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams

132Stars on the repository
33Mods indexed here, across every type
todayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

architect-analyze

01

tikalk/adlc-team-skills

Skill Claude Code

Analyze architecture for consistency between ADRs and AD, completeness, and quality issues. Use when validating generated or refined architecture artifacts, before feature development, during architecture review, or periodically to detect drift.

not rated 132 changed yesterday A SkillSpector: warn 43 tokens original MIT

architect-clarify

02

tikalk/adlc-team-skills

Skill Claude Code

Refine and validate system-level ADRs through targeted clarification questions. Use when ADRs need review, gaps need filling, or ADR status must be approved before architecture generation.

not rated 132 today A SkillSpector: warn 39 tokens original MIT

architect-implement

03

tikalk/adlc-team-skills

Skill Claude Code

Generate a full Architecture Description (AD.md) from accepted ADRs using multi-agent DAG orchestration. Use when accepted ADRs exist and you need to produce or update unified architecture documentation.

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

architect-init

04

tikalk/adlc-team-skills

Skill Claude Code

Reverse-engineer architecture from an existing codebase to create ADRs documenting discovered decisions. Use when bootstrapping architecture documentation for brownfield projects.

not rated 132 today A SkillSpector: warn 32 tokens original MIT

architect-specify

05

tikalk/adlc-team-skills

Skill Claude Code

Interactive PRD exploration and system-level ADR creation for greenfield projects. Use when transforming a PRD or high-level system description into Architecture Decision Records.

not rated 132 today A SkillSpector: warn 34 tokens original MIT

change-clarify

06

tikalk/adlc-team-skills

Skill Claude Code

Review, accept, reject, or defer Change Decision Records (ChDRs) discovered by change-init. Interactive one-ChDR-at-a-time workflow that validates inferred decisions against their git/issue evidence before promotion to project memory.

not rated 132 today A SkillSpector: pass 50 tokens original MIT

change-init

07

tikalk/adlc-team-skills

Skill Claude Code

Mine git history for Change Decision Records (ChDRs) by detecting commit messages that link to issue trackers, clustering the commits into change stories, and inferring the decisions behind them. Use when bootstrapping project memory from an existing repo's history (brownfield), before refactoring unfamiliar code, or…

not rated 132 today A SkillSpector: warn 72 tokens original MIT

change-publish

08

tikalk/adlc-team-skills

Skill Claude Code needs its repo

Promote accepted Change Decision Records (ChDRs) from drafts to project memory at .adlc/memory/chdr/, write OKF-style frontmatter, and regenerate the boot-facing .adlc/memory/chdr.md index that team-boot injects at session start. Use after /change-clarify has accepted ChDRs.

not rated 132 today A SkillSpector: pass 73 tokens original MIT

evals-analyze

09

tikalk/adlc-team-skills

Skill Claude Code

Analyze evaluation results and close the loop. Specification failures create local CDRs to fix agent rules; generalization failures go to evaluator backlog.

not rated 132 today A SkillSpector: pass 33 tokens original MIT

evals-clarify

10

tikalk/adlc-team-skills

Skill Claude Code

Refine, cluster, and accept draft criteria into the published goldset. Isolates 20% holdout split and publishes goldset.md + goldset.json.

not rated 132 today A SkillSpector: pass 40 tokens original MIT

evals-implement

11

tikalk/adlc-team-skills

Skill Claude Code

Generate executable graders and configs from goldset. Generates Python graders / metrics and auto-runs unit tests to verify grader correctness.

not rated 132 today A SkillSpector: pass 30 tokens original MIT

evals-init

12

tikalk/adlc-team-skills

Skill Claude Code

Initialize evals/{system}/ directory structure for evaluation system following EDD principles (Standalone). Choose PromptFoo or DeepEval based on tech stack, generate security baseline.

not rated 132 today A SkillSpector: pass 37 tokens original MIT

evals-specify

13

tikalk/adlc-team-skills

Skill Claude Code

Extract eval criteria from product specs and production failure traces (bottom-up error analysis). Writes proposed criteria to .adlc/drafts/evals/.

not rated 132 today A SkillSpector: pass 33 tokens original MIT

evals-validate

14

tikalk/adlc-team-skills

Skill Claude Code

Run evaluations and validate evaluator quality (SLA compliance, TPR/TNR, statistical accuracy). Executes PromptFoo or pytest DeepEval.

not rated 132 today A SkillSpector: warn 32 tokens original MIT

levelup-clarify

15

tikalk/adlc-team-skills

Skill Claude Code

Review, accept, reject, or defer Context Directive Records (CDRs) discovered by levelup-init or proposed by levelup-specify. Interactive one-CDR-at-a-time workflow.

not rated 132 today A SkillSpector: warn 43 tokens original MIT

levelup-init

16

tikalk/adlc-team-skills

Skill Claude Code

Reverse-engineer Context Directive Records (CDRs) from an existing codebase for contribution to team-ai-directives. Use when bootstrapping team knowledge from brownfield projects.

not rated 132 today A SkillSpector: warn 39 tokens original MIT

levelup-publish

17

tikalk/adlc-team-skills

Skill Claude Code needs its repo

Compile accepted Context Directive Records (CDRs) into team-ai-directives artifacts and create a draft PR. Builds context modules, evals goldensets, and/or skills based on CDR context types.

not rated 132 today A SkillSpector: pass 46 tokens original MIT

levelup-specify

18

tikalk/adlc-team-skills

Skill Claude Code

Extract Context Directive Records (CDRs) from the current session after completing work. Identifies reusable patterns (rules, personas, examples, evals) and captures directive compliance cases for team-ai-directives.

not rated 132 today A SkillSpector: warn 46 tokens original MIT

mission-brief

19

tikalk/adlc-team-skills

Skill Claude Code

Mission-driven SDD orchestrator: take a feature description, structure it into a Mission Brief (goal, constraints, success criteria), generate an ordered step list with prompts that trigger installed SDD skills via model invocation or command-file discovery, and walk those steps to converged implementation. Use when…

not rated 132 today A SkillSpector: warn 99 tokens original MIT

product-analyze

20

tikalk/adlc-team-skills

Skill Claude Code

Read-only analysis of PDR↔PRD consistency, PDR quality, cross-PDR conflicts, and staleness. Outputs a structured markdown report with severity-assigned findings. Use after /product-implement or periodically to detect drift.

not rated 132 today A SkillSpector: pass 53 tokens original MIT

product-clarify

21

tikalk/adlc-team-skills

Skill Claude Code

Refine and validate Product Decision Records through targeted clarification questions. Review PDR completeness, detect conflicts, approve decisions, and update status to Accepted. Use before /product-implement.

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

product-implement

22

tikalk/adlc-team-skills

Skill Claude Code

Generate a full Product Requirements Document (PRD.md) from accepted PDRs using multi-agent DAG orchestration. Reads individual PDR files, generates PRD sections from templates, validates output, and promotes accepted PDRs to memory. Use after /product-clarify.

not rated 132 changed yesterday A SkillSpector: pass 60 tokens original MIT

product-init

23

tikalk/adlc-team-skills

Skill Claude Code

Reverse-engineer Product Decision Records (PDRs) from an existing codebase and documentation using multi-agent feature-area analysis (brownfield). Use when documenting product decisions inferred from an already-built product.

not rated 132 changed yesterday A SkillSpector: warn 43 tokens original MIT

product-roadmap

24

tikalk/adlc-team-skills

Skill Claude Code

Track milestone progress across four layers of truth — decision state (PDR status), execution state (live issue tracker via MCP), evidence state (code-vs-PDR verification), and gate state (milestone gates). Shows honest completion, done-means warnings, and updates status only when all layers are green. Use for weekly…

not rated 132 today A SkillSpector: pass 75 tokens original MIT

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