An agentic skills framework & software development methodology that works.
Agent skills pack for team context and SDLC
This repo gives coding agents a shared set of skills for team bootstrapping, mission planning, product and architecture records, evals, and context updates. It starts with a small index at session start, then loads the full rule or workflow only when the current task matches.
Builders who want their agent to remember team conventions, decision records, and eval rules across sessions and tools.
You can keep agents aligned with your team’s standards without stuffing every rule into context.
What it does
Session start bootstrap
`team-boot` injects a compact index of the team constitution, skills registry, and decision indexes at session start.
Mission brief workflow
`mission-brief` forces a spec contract before code and walks through specify, plan, implement, and converge.
Product and architecture records
`product-*` skills create and compile PDRs into `PRD.md`, and `architect-*` skills do the same for ADRs into `AD.md`.
Executable evals
`evals-*` skills scaffold, implement, validate, and analyze evaluation suites with binary graders and optional LLM judges.
Session learnings capture
`levelup-*` skills extract hard-won fixes as CDRs and publish them back to the team repo.
Build to delete
`team-repair --build-to-delete` reruns evals without a rule and proposes rules for removal when the model still passes.
Workspace coordination
`workspace` manages multi-repo `.adlc/` structure, linking, and status checks.
How to get it
- 1Run
# Skills + slash commands + session_start events npx adlc-skills-cli add tikalk/adlc-team-skills -a opencode # Or plain skills (no commands/events) npx skills add tikalk/adlc-team-skills -a claude -g
README
adlc-team-skills
Agent skills that give coding agents your team's context at session start, so they stop working like strangers.
The problem
Coding agents start every session knowing nothing about your team. They don't know your conventions, which patterns you deprecated, or why service X never calls service Y. Developers compensate with personal CLAUDE.md files, but those live on one machine, drift out of date, and don't transfer between teammates or tools.
What this does
#1: The agent doesn't know how your team works
team-boot runs at session start and injects an index of your team's
rules, personas, and decisions — names and one-line descriptors, roughly a
hundred tokens. Not the rules themselves. When the active task matches a
rule, the agent pulls that rule's full text on demand. A task touching SQL
loads the SQL rule; nothing else loads.
team-boot → auto-runs at session start (event hook), injects the index
team-discover → /team-discover for a structured match table
team-constitution → interactively define your team's principles
team-repair → re-index, conflict scan, freshness check
The index lives in a git repo (team-ai-directives) — versioned, reviewed by PR, shared by the whole team.
#2: The agent guesses instead of asking
LLMs fill ambiguity with invention. mission-brief forces a contract first:
goal, constraints, non-goals, success criteria — then runs
specify → plan → tasks → implement ↔ converge. When the agent gets something
wrong, you fix the spec, not the code.
mission-brief "add user profile API with JWT"
mission-brief --resume # continue an interrupted mission
#3: The maker grades its own work
The evals skills build executable evaluation suites (PromptFoo or DeepEval).
Anything that can be checked by code gets a binary grader — plain assertions,
Tier 1. LLM judges are Tier 2, reserved for what static checks can't verify.
Nothing auto-merges; the pipeline ends at a PR a human reviews.
evals-init → evals-specify → evals-clarify → evals-implement → evals-validate → evals-analyze
#4: Session learnings evaporate
When a session surfaces a hard-won fix, levelup-specify extracts it as a
Context Directive Record (CDR) and commits it back to the team repo — the
next session starts smarter.
levelup-init → levelup-specify → levelup-clarify → levelup-publish
#5: Product and architecture decisions are invisible
product-* skills capture product decisions as PDR files and compile them
into PRD.md. architect-* skills capture architecture decisions as ADRs
(Rozanski & Woods viewpoints) and compose them into AD.md. Every decision
traces from record to document to code.
product-init|specify → product-clarify → product-implement → product-analyze
architect-init|specify → architect-clarify → architect-implement → architect-analyze
#6: Rules pile up and rot
Base models improve; yesterday's scaffolding becomes today's context noise.
team-repair --build-to-delete re-runs evals without a rule; if the model
passes anyway, the rule is proposed for deletion. Rules should shrink over
time, not grow.
A note on context stuffing
Long contexts measurably degrade LLM performance — even with perfect retrieval (arXiv:2510.05381, 13.9%–85% degradation by length alone). This repo exists because of that failure mode, not in spite of it: agents get an index by default and pull full rules only when relevant. If your instinct is "more rules in context don't work" — we agree. That's the design.
How it works
It starts the moment you open a session. team-boot fires via the
session_start event hook and injects a lean index — your team's
constitution, CDR index, PDR/ADR indexes, and skills registry — roughly a
hundred tokens of names and one-line descriptors. Not the rules themselves.
When the active task matches a rule, the agent pulls that rule's full text on
demand. A task touching SQL loads the SQL rule; nothing else does.
On an unconfigured project, team-boot points you to /team-setup, which
clones, links, or scaffolds your team-ai-directives repo. team-constitution
fills in your principles.
When you ask it to build something, it doesn't jump to code. mission-brief
forces a contract first — goal, constraints, non-goals, success criteria —
then generates an ordered step list and walks specify → plan → implement ↔ converge, with gates, a circuit breaker, resume, and an audit trail. At
mission start it scans installed skills directories, reads each SKILL.md
frontmatter, and hands the inventory to the subagent; the model picks the
skill that fits each step — this repo's product-specify, superpowers'
brainstorming, spec-kit's commands, or your own.
For new products, product-specify captures Product Decision Records (PDRs),
product-clarify refines them, and product-implement compiles them into
PRD.md. The architect-* skills do the same for Architecture Decision
Records (ADRs, Rozanski & Woods viewpoints) and compose them into AD.md.
The evals skills build executable evaluation suites — binary graders
(Tier 1, plain assertions) for anything code can check, LLM judges (Tier 2)
only for what static checks can't. evals-validate runs the pyramid with
holdout splits, TPR/TNR, and SLA headroom. Nothing auto-merges; the pipeline
ends at a PR a human reviews.
When a session surfaces a hard-won fix, levelup-specify extracts it as a
Context Directive Record (CDR) — with a paired eval CDR — and commits it back
to the team repo. The next session starts smarter.
Rules rot, so team-repair --build-to-delete re-runs evals without a rule;
if the model passes anyway, the rule is proposed for deletion. Rules should
shrink over time, not grow.
And because the skills trigger automatically from the index, you don't do anything special once they're installed. Your coding agent just has your team's context.
The Basic Workflow
- team-boot — auto-runs at session start (event hook); injects the directives index (constitution, CDR index, PDR/ADR indexes, skills registry). Full rules pulled on demand when the task matches.
- team-setup — on an unconfigured project, clones/links/scaffolds the team-ai-directives repo. team-constitution fills in your principles.
- mission-brief — before code, forces a spec contract (goal, constraints,
non-goals, success criteria), then walks
specify → plan → implement ↔ convergewith gates, circuit breaker, resume, and audit trail. - product-specify / product-init — greenfield/brownfield capture of
Product Decision Records (PDRs). → product-clarify refines →
product-implement generates
PRD.md→ product-analyze checks consistency. - architect-specify / architect-init — same shape for Architecture
Decision Records (ADRs, Rozanski & Woods). → architect-clarify →
architect-implement generates
AD.md→ architect-analyze. - evals-init → evals-specify → evals-clarify → evals-implement → evals-validate — builds executable graders (binary Tier 1, LLM judge Tier 2), holdout split, TPR/TNR + SLA validation. Pipeline ends at a human-reviewed PR.
- levelup-specify — at session end, extracts hard-won fixes as CDRs + paired eval CDRs. → levelup-clarify reviews → levelup-publish commits to team repo → next session starts smarter.
- team-repair --build-to-delete — re-runs evals without a rule; if the model passes anyway, proposes the rule for deletion. Rules shrink over time, not grow.
The agent checks the directives index before any task. Skills trigger automatically when the active task matches — mandatory lifecycle, not suggestions.
Install
# Skills + slash commands + session_start events
npx adlc-skills-cli add tikalk/adlc-team-skills -a opencode
# Or plain skills (no commands/events)
npx skills add tikalk/adlc-team-skills -a claude -g
Works with any agent supporting the Agent Skills standard — Claude Code, Codex, OpenCode, Cursor, Copilot, and others.
adlc-skills-cli wraps npx skills add
and additionally generates /name slash commands and wires session_start event
hooks (via .events.json) for 9 coding agents. Skills repos without .events.json
get commands only.
First run: team-boot fires at session start. On an unconfigured project
it points you to /team-setup, which clones, links, or scaffolds your
team-ai-directives repo. team-constitution fills in your principles.
Using agentic-sdlc-spec-kit alongside this repo? See
Coexistence with Spec Kit for the
conflict-free install flow.
Universal orchestration
mission-brief doesn't force a proprietary ecosystem. At mission start it
scans installed skills directories, reads each SKILL.md frontmatter, and
hands the inventory to the subagent — the model picks the skill that fits
each step. Works alongside:
| Source | Examples |
|---|---|
| mattpocock/skills | /tdd, /grill-me, /code-review |
| addyosmani/agent-skills | Exit-criteria checklists |
| superpowers | Workflow skills |
| spec-kit / agentic-sdlc-spec-kit / OpenSpec | SDD command frameworks |
| This repo | product-specify, architect-specify, evals-validate, levelup-specify |
| Your own | Anything following the SKILL.md standard |
Security
On 2026-07-27 a supply-chain worm briefly injected a malicious payload into
this repo's .claude/ and .vscode/ directories via a stolen maintainer
token (exposure window ~11:06–18:30 UTC). The payload only executed if you
cloned the repo and opened it in VS Code or started a Claude Code session
inside it; the npx skills install path never shipped or ran those files.
History was rewritten to strip the payload from all commits and tags, tokens and secrets were rotated, and branch protection now blocks the vector used. Details and remediation steps: issue #1.
Lesson for any repo: treat .vscode/tasks.json and .claude/settings.json
in a clone as executable code, and disable editor auto-run tasks.
Reference
Team Directives
team-boot— session-start bootstrap; injects the directives index. Auto-triggered.team-discover— manual re-scan; structured match table (/team-discover).team-setup— clone, link, or scaffold a team-ai-directives repo.team-constitution— define or amend team principles interactively.team-repair— re-index, conflict scan, freshness,--build-to-delete.team-skills— browse/install team skills from the directives repo.
LevelUp / CDR lifecycle
levelup-init— brownfield CDR discovery from an existing codebase.levelup-specify— extract CDRs + paired evals from the current session.levelup-clarify— review, accept, reject, or defer pending CDRs.levelup-publish— compile accepted CDRs into directives + goldensets + draft PR.
Change (ChDRs)
change-init— mine git history for Change Decision Records via issue-linked commits; recovers the why behind past changes (reverts, fix chains).change-clarify— review, accept, reject, or defer mined ChDRs (provenance gate on Decision claims).change-publish— promote accepted ChDRs to.adlc/memory/chdr/;team-bootinjects thechdr.mdindex at session start.
Product (PDRs)
product-init— brownfield PDR discovery.product-specify— greenfield creation.product-clarify— refine and approve.product-implement— generatePRD.md.product-analyze— PDR↔PRD consistency.product-roadmap— milestone progress.
Architecture (ADRs)
architect-init— reverse-engineer ADRs.architect-specify— create ADRs.architect-clarify— refine.architect-implement— generateAD.md.architect-analyze— ADR↔AD consistency.
Evals
evals-init— scaffoldevals/{system}/with security baseline.evals-specify— extract criteria from specs / failure traces.evals-clarify— cluster, isolate holdout, publish goldset.evals-implement— generate graders + unit tests.evals-validate— run evaluation pyramid, TPR/TNR + SLA headroom.evals-analyze— route failures to rules or evaluator backlog.
Orchestration & misc
mission-brief— spec-contract pipeline with converge loop, circuit breaker, resume.tech-radar-context— injects Tikal Tech Radar context for tech choices. Auto-triggered.workspace— multi-repo workspace:--initcreates.adlc/structure +.gitignore, discover/link/audit child repos.
Repository layout
Skills are organized into category subdirectories under skills/:
skills/
├── architect/ # architect-* (5 skills)
├── product/ # product-* (6 skills) + product-templates/
├── levelup/ # levelup-* (4 skills) + levelup-helpers.{sh,ps1}
├── change/ # change-* (3 skills) — ChDRs from git history
├── mission-brief/ # core SDD orchestrator (1 skill)
├── evals/ # evals-* (6 skills) + evals-templates/
├── tech-radar/ # tech-radar-* (1 skill) + resources/radar.json
├── workspace/ # workspace (1 skill) — multi-repo coordination
└── team/ # team-* (6 skills) + team-helpers.{sh,ps1}
This places every single skill exactly 2 levels deep, fully resolving the default depth limit of the skills CLI and ensuring all skills install out of the box.
Output File Layout
All skills write to .adlc/ (project root) and the team AI directives repo.
Team Directives (inside the team AI directives repository):
AGENTS.md— agent instructions (loading order, rules, skills)CDR.md— index of approved context contributions.skills.json— skills manifest (schema v2.0.0).mcp.json.example— MCP servers config examplecontext_modules/constitution.md— team constitution (OKF frontmatter)context_modules/{rules,personas,examples}/**/*.md— context modulescontext_modules/{type}/index.md— progressive disclosure per concept typecontext_modules/{type}/log.md— chronological change log per concept typeskills/{name}/SKILL.md+.skills-entry.json— published team skillsevals/{directive-id}/goldset.md+goldset.json— directive compliance goldensets
LevelUp (inside .adlc/ of the target project):
.adlc/drafts/cdr/CDR-{NNN}.md— proposed/discovered CDRs (including eval CDRs).adlc/drafts/cdr/cdr.md— auto-generated CDR index.adlc/init-options.json— team AI directives path config
Product (inside .adlc/ and repo root):
.adlc/drafts/pdr/PDR-{NNN}.md— proposed/discovered PDRs.adlc/drafts/pdr/pdr.md— auto-generated PDR index.adlc/memory/pdr/PDR-{NNN}.md— accepted/completed PDRs.adlc/memory/pdr/pdr.md— accepted PDR index.adlc/product/sections/{feature-area}/{section}.md— PRD section build artifacts.adlc/product/state.json— DAG execution statePRD.md— Product Requirements Document (repo root)
Architecture (inside .adlc/ and repo root):
.adlc/drafts/adr/ADR-{NNN}.md— proposed/discovered ADRs.adlc/drafts/adr/adr.md— auto-generated ADR index.adlc/memory/adr/ADR-{NNN}.md— accepted ADRs.adlc/memory/adr/adr.md— accepted ADR indexAD.md— Architecture Description (repo root).adlc/architect/— per-view DAG artifacts
Missions (inside .adlc/ of the target project):
.adlc/workflow/workflow-config.yml— mission execution/supervision/budgets config.adlc/workflow/.mission-state.json— step list, completed steps, brief, discovery results.adlc/workflow/runs/<feature>/mission-log.json— final audit trail.adlc/workflow/runs/<feature>/iterations.md— per-implement audit entries
Governance (inside target project and repo root):
.adlc/drafts/evals/EVAL-{NNN}.md— proposed/discovered eval criteria drafts.adlc/drafts/evals/evals.md— draft evals index.adlc/memory/evals/EVAL-{NNN}.md— accepted/completed eval criteria.adlc/memory/evals/evals.md— accepted evals index.adlc/memory/evals/holdout.json— isolated/reserved holdout test datasetevals/{system}/goldset.md— published goldset (human-readable)evals/{system}/goldset.json— published goldset (machine-readable)evals/{system}/config.yml— evaluation framework configurationevals/{system}/config.{js,py}— framework test configevals/{system}/graders/check_*.py— generated binary Python graders / metricsevals/{system}/tests/test_check_*.py— generated unit tests verifying grader correctnessevals/results/validation_report.md— statistical validation results report
Workspace (inside parent repo root):
.gitmodules— Git submodule registrations for child repos (created by--link).adlc/— shared team context (PDRs, ADRs, CDRs); parent is the single source of truth- Child repos discovered at depth 1; each child's
.adlc/presence is reported (informational)
OKF Compliance
Generated context modules include Open Knowledge Format (OKF) v0.1 compliant frontmatter alongside custom fields.
| OKF field | Status | Source |
|---|---|---|
type | ✅ | CDR context type |
title | ✅ | CDR title |
description | ✅ | CDR descriptor |
resource | ✅ | Relative path to artifact |
tags | ✅ | Context type tag |
timestamp | ✅ | ISO 8601 datetime |
Custom fields co-exist with OKF frontmatter: id, cdr_ref, created, modified, verified, age_days, evidence.
Directory structure: context_modules/{type}/index.md (progressive disclosure), context_modules/{type}/log.md (change history), cross-links between related concepts.
Workflows
Team Directives setup:
team-setup → team-constitution → team-boot (auto at session start)
Product lifecycle:
Brownfield: product-init → product-clarify → product-implement → product-analyze
Greenfield: product-specify → product-clarify → product-implement → product-analyze
Roadmap: product-roadmap (anytime)
Architecture lifecycle:
Brownfield: architect-init → architect-clarify → architect-implement → architect-analyze
Greenfield: architect-specify → architect-clarify → architect-implement → architect-analyze
LevelUp / CDR lifecycle:
Brownfield: levelup-init → levelup-clarify → levelup-publish → team-repair
Session: levelup-specify → levelup-clarify → levelup-publish → team-repair
History: change-init → change-clarify → change-publish (team-boot injects chdr.md)
Build to Delete: team-repair --build-to-delete → levelup-clarify (review deletion CDRs)
Mission:
mission-brief "feature" → review brief → execute steps → converge → mission-log.json
Multi-repo workspace:
workspace --init → create .adlc/ structure + configure .gitignore
product-specify / architect-specify → create shared PDRs/ADRs in parent .adlc/
workspace --link → register child repos as submodules
workspace --status → audit branch, dirty, unpushed, SHA drift
Application Evaluation lifecycle:
Greenfield (Spec-Driven): evals-init → evals-specify (from spec) → evals-clarify → evals-implement → evals-validate
Brownfield (Error-Driven): evals-init → evals-specify (from failures) → evals-clarify → evals-implement → evals-validate → evals-analyze
Full product → architecture → team:
Product: product-specify → product-clarify → product-implement → product-analyze
Architecture: architect-specify → architect-clarify → architect-implement → architect-analyze
Team: levelup-specify → levelup-clarify → levelup-publish → team-repair
12-Factor Alignment
This repo implements the Twelve-Factor Agentic SDLC.
| Factor | Skills | How |
|---|---|---|
| III — Mission Definition | Product skills | PRD/PDR lifecycle ensures product decisions are documented, reviewed, and traceable before execution |
| IV — Structured Planning | Architecture skills | ADRs and AD.md provide structured planning artifacts using Rozanski & Woods viewpoints |
| VII — Verification-First Evals | LevelUp + Evals skills | LevelUp creates directive-compliance eval CDRs; evals skills build and run application-level evaluation suites (PromptFoo/DeepEval) with binary graders, holdout splits, and statistical validation |
| VIII — Ratchet Effect | LevelUp + Evals skills | Each session extracts eval CDRs alongside directive CDRs; each goldset publication adds criteria that monotonically increase quality — evals-clarify publishes, evals-validate enforces |
| IX — Traceability | Product + Architecture | Every decision traces from PDR → PRD → feature and from ADR → AD → code |
| X — Context Engineering | Team Directives | team-boot assembles constitution, CDR index, and PDR/ADR indexes into the system prompt at session start; team-discover provides manual re-scan |
| XI — Directives as Code | Team + LevelUp + Product + Architecture | All directive lifecycles (CDR, PDR, ADR) live in version-controlled repos, each with draft → clarify → accept → publish → analyze stages |
| XII — Build to Delete | team-repair + evals-analyze | --build-to-delete runs evals without directives via LLM calls; if model passes, proposes deletion (Harness Decay); evals-analyze routes spec failures to levelup-specify (rules) and generalization failures to the evaluator backlog — the feedback loop that makes build-to-delete verifiable |
Release Process
See RELEASE.md for the release runbook, tag naming conventions, and recovery procedures.
License
MIT — see LICENSE.
Files in the repo
- .github
- docs
- evals
- skills
- tests
- .events.json
- .gitignore
- CHANGELOG.md
- CONTRIBUTING.md
- LICENSE
- README.md
- RELEASE.md
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