Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
A skill your agent uses when a session ends to extract CDRs, score confidence, batch review, and publish accepted CDRs to team-ai-directives.
$ npx skills add tikalk/adlc-team-skills --skill team-levelup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tikalk/adlc-team-skills team-levelup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/team/team-levelup .claude/skills/team-levelup && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "team-levelup" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/team/team-levelup into .claude/skills/team-levelup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "team-levelup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tikalk/adlc-team-skills/tree/main/skills/team/team-levelupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tikalk/adlc-team-skills --skill team-levelup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tikalk/adlc-team-skills team-levelup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/team/team-levelup .agents/skills/team-levelup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "team-levelup" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/team/team-levelup into .agents/skills/team-levelup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "team-levelup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tikalk/adlc-team-skills --skill team-levelup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tikalk/adlc-team-skills team-levelup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/team/team-levelup .cursor/skills/team-levelup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "team-levelup" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/team/team-levelup into .cursor/skills/team-levelup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "team-levelup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tikalk/adlc-team-skills.git --path skills/team/team-levelup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tikalk/adlc-team-skills --skill team-levelup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tikalk/adlc-team-skills team-levelup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/team/team-levelup .gemini/skills/team-levelup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "team-levelup" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/team/team-levelup into .gemini/skills/team-levelup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "team-levelup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tikalk/adlc-team-skills team-levelupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tikalk/adlc-team-skills --skill team-levelup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/team/team-levelup .github/skills/team-levelup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "team-levelup" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/team/team-levelup into .github/skills/team-levelup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "team-levelup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tikalk/adlc-team-skills --skill team-levelup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tikalk/adlc-team-skills team-levelup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/team/team-levelup .opencode/skills/team-levelup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "team-levelup" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/team/team-levelup into .opencode/skills/team-levelup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "team-levelup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
team-levelupA skill your agent uses when a session ends to extract CDRs, score confidence, batch review, and publish accepted CDRs to team-ai-directives.
Team Levelup is an agent skill from tikalk/adlc-team-skills. Use when a session ends to extract CDRs, score confidence, batch review, and publish accepted CDRs to team-ai-directives. Auto-triggers on sessionend event. Also invoked from team-boot's Class Boots catalog for CDR descriptor matches.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `scripts/helpers.sh`, `scripts/score-confidence.sh` and `scripts/scrub-session.sh`).
It sits in Development. The repository describes itself as: Agent skills for the Agentic SDLC: team lifecycle (team-boot, team-learn, team-init, team-repair), software factory, evals, CDR lifecycle with confidence scoring, and… The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 2dbed36. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 4 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Team Levelup loads about 1.8k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 746 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from tikalk/adlc-team-skills at commit 2dbed36, republished under its MIT licence (© tikalk). 746 words, ~1,770 tokens.
.claude/skills/team-levelup/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Session-end CDR lifecycle — extracts reusable patterns from the completed
session, scores them by confidence, presents for batch review, and publishes
accepted CDRs as a draft PR to team-ai-directives.
Replaces the former levelup-specify, levelup-clarify, and levelup-publish
skills with a single streamlined workflow.
Searched N CDRs, K matched. 0 rows matched → emit the section heading + the searched line only — no table. A 0-row table header collapses into unrendered single-line markdown; never emit one.
When no local context-module records exist in the current working directory
and the directory sits inside a workspace (detected via a .gitmodules marker
in an ancestor), read the workspace root's records instead.
Invoke at the START of a matching task — before planning the todo list and before implementation — so the CDR context informs planning. Never defer to session end.
.events.json maps session_end → this skill/team-levelup after completing work/team-init to scan existing codeCDR drafts live in the adlc orphan branch of team-ai-directives:
team-ai-directives (adlc branch, orphan)
├── drafts/cdr/
│ ├── CDR-001.md # Pending CDR
│ └── cdr.md # Draft index
└── reports/
├── sessions/<user>/<YYYY-MM>.md
├── projects/<project>.json
└── confidence-scores.jsonMain branch has NO drafts directory — only accepted CDRs in context_modules/.
Run the setup script:
scripts/team-levelup.sh --setupParse JSON for REPO_ROOT, TEAM_AI_DIRECTIVES, NEXT_CDR, ADLC_BRANCH_EXISTS.
If TEAM_AI_DIRECTIVES is not configured, exit with message to run /team-setup.
Review the current session to identify reusable patterns:
git diff --stat, git log --oneline -10)For each pattern, create a CDR draft using the shared template at skills/team/templates/cdr-draft-template.md.
Write session trace to adlc branch: reports/sessions/<user>/<YYYY-MM>.md.
For each extracted CDR, calculate confidence:
Base scores by type:
Bonuses:
Usage multiplier (from reports/confidence-scores.json):
Thresholds:
Present CDRs one at a time (same as former team-learn logic):
## CDR-{ID}: {Title}
**Context Type**: {type}
**Confidence**: {score} ({HIGH/MEDIUM/LOW})
**Current Status**: {status}
### Current Content
...
### Choose Action
| Option | Action |
|---|---|
| A | Accept — Approve for implementation |
| B | Reject — Decline with reason |
| C | Defer — Skip for now, keep pending |
| D | Accept all remaining — Accept this and all pending CDRs |
| P | Promote to check (mechanical rules only) |
Reply with your choice (A/B/C/D/P).Wait for user input before proceeding. Update CDR file after each decision.
If team-boot injected no team context this session (no Team Context & Decisions section in the first user message — unconfigured project or hook failure): say so in one line, maintain rows in Team Context & Decisions with a 0 CDRs matched (no team context injected — run /team-setup) source line, and continue the task on directly-read CDR modules. Never treat a missing injection as an empty record set. Recovery: run /team-diagnose.
For accepted CDRs, create a draft PR to team-ai-directives main branch:
adlc branch worktreedrafts/cdr/context_modules/ in main branchWrite to adlc branch:
reports/sessions/<user>/<YYYY-MM>.md — privacy-scrubbed session summaryreports/projects/<project>.json — CDR match/apply countsreports/confidence-scores.jsonWrite report to .adlc/team-levelup-report.md (local, not committed):
## Team-Levelup Report
**Date**: {date}
**CDRs Extracted**: N
**CDRs Accepted**: N
**CDRs Rejected**: N
**CDRs Deferred**: N
**PR**: {URL or "none — no accepted CDRs"}
### Next Steps
1. Review PR (if created)
2. Run `/team-repair --update-confidence` after mergeWhen two projects draft the same pattern:
project: project-aproject: fieldteam-levelup integrates with Team Context & Decisions maintained by team-boot.
CDR-class decisions detected during the session are captured as drafts and
tracked as table rows in the same section. Mirror each CDR-class decision as a task-list todo
(draft → /team-levelup at session end); after code-modifying tasks, add a
trailing todo to sweep Team Context & Decisions until Unrecorded: 0 pending · Unclarified: 0 drafts (a draft leaves Unclarified only via its clarify skill or an explicit user handoff to a named clarify or execute skill). At session end, deliver the clarify prompt naming each captured draft (ID + clarify skill); if the user defers clarify, mark those rows handed off. Do not fabricate
table rows — only record decisions that actually emerged from the session.
adlc branch drafts/cdr/adlc branch reports/sessions/adlc branch reports/projects/© tikalk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts) in skills/team/team-levelup of tikalk/adlc-team-skills.
Open the folder on GitHubat commit 2dbed36
Team Levelup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Team Levelup this skilltikalk/adlc-team-skills | 141 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
tikalk/adlc-team-skills
A skill your agent uses when a session starts or resumes after compaction (auto via the sessionstart and sessioncompact event hooks) and the team AI directives context — constitution, CDR index…
tikalk/adlc-team-skills
A skill your agent uses when ADRs need review, gaps need filling, or ADR status must be approved as Accepted before architecture generation.
tikalk/adlc-team-skills
A skill your agent uses when reviewing, accepting, rejecting, or deferring ChDRs mined by change-init, validating inferred decisions against their git and issue evidence before promotion to project…
tikalk/adlc-team-skills
A skill your agent uses when you want guided mining of git history, structured change-story clustering, or comprehensive rationale recovery before documenting.
tikalk/adlc-team-skills
A skill your agent uses when accepted ChDRs are ready for promotion from drafts to project memory at docs/adlc/memory/chdr/ and the boot-facing chdr.md index needs regenerating.
tikalk/adlc-team-skills
A skill your agent uses when evaluation results need triage and loop-closing — spec failures route to deterministic checks or context rules, generalization failures to the evaluator backlog.
Categories
A skill your agent uses when a session ends to extract CDRs, score confidence, batch review, and publish accepted CDRs to team-ai-directives. Team Levelup is an agent skill from tikalk/adlc-team-skills. Use when a session ends to extract CDRs, score confidence, batch review, and publish accepted CDRs to team-ai-directives.
Team Levelup fits situations like: A session ends to extract CDRs; score confidence; publish accepted CDRs to team-ai-directives; sessionend event.
Run `npx skills add tikalk/adlc-team-skills --skill team-levelup -a claude-code`. Or copy the skill folder (skills/team/team-levelup in tikalk/adlc-team-skills) into .claude/skills/team-levelup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tikalk/adlc-team-skills --skill team-levelup -a codex`. Or copy the skill folder (skills/team/team-levelup in tikalk/adlc-team-skills) into .agents/skills/team-levelup in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tikalk/adlc-team-skills --skill team-levelup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/team-levelup, .gemini/skills/team-levelup, .github/skills/team-levelup and .opencode/skills/team-levelup in your project.
Going by SKILL.md and its folder, Team Levelup needs a shell for the scripts in its folder and the command-line tools its instructions call (git). Our summary lists: A Bash shell.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Team Levelup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Team Levelup: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tikalk (a GitHub organization) maintains it in tikalk/adlc-team-skills, which has 141 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 6, 2026.
Source: tikalk/adlc-team-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.