gza-code-review-interactive
Review changes on current branch and output a structured review. Optionally post to PR with --pr flag, or apply non-blocking follow-ups inline with --apply-followups.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add mhawthorne/gza --skill gza-code-review-interactive
Maintenance
fresh
Pushed today
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
11
57/100 Quality · 68/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
11 GitHub stars
Repo activity
11 stars, 1 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add mhawthorne/gza --skill gza-code-review-interactive
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add mhawthorne/gza --skill gza-code-review-interactive
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 60/100
- Audit
- 73/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add mhawthorne/gza --skill gza-code-review-interactiveDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
- High-risk permission hints: Shell or command execution
Alternative
Code Review
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
Grill With Docs
164.7K Stars
npx skills add mattpocock/skills --skill grill-with-docs
Alternative
To Spec
164.7K Stars
npx skills add mattpocock/skills --skill to-spec
Alternative
To Tickets
176.7K Stars
npx skills add mattpocock/skills --skill to-tickets
Agent safety v2
37/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install mhawthorne-gza-code-review-interactiveAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20gza-code-review-interactive%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20gza-code-review-interactive%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/mhawthorne-gza-code-review-interactive/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use gza-code-review-interactive in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20gza-code-review-interactive%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mhawthorne-gza-code-review-interactive/install
Install command: npx skills add mhawthorne/gza --skill gza-code-review-interactive
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/mhawthorne-gza-code-review-interactive/install
LLM text format
/api/skills/mhawthorne-gza-code-review-interactive/install?format=text
Find alternatives
/api/skills/search?q=gza-code-review-interactive&limit=3
Agent prompt
Use gza-code-review-interactive for this task. Review https://www.openagentskill.com/api/skills/mhawthorne-gza-code-review-interactive/install, then install with: npx skills add mhawthorne/gza --skill gza-code-review-interactiveRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/mhawthorne-gza-code-review-interactive
LLM text
/api/registry/manifest/mhawthorne-gza-code-review-interactive?format=text
Install alias
/api/registry/install/mhawthorne-gza-code-review-interactive
Recommend
/api/registry/recommend?task=Use%20gza-code-review-interactive%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 73/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Needs validation for GitHub automation
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
GitHub automation
Trust label
Needs manual review
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 57/100 quality profile
- 1 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
- The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX11 GitHub stars
Stars/forks activity
FIX11 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 11 GitHub stars
- Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
To Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
Overview
--- name: gza-code-review-interactive description: Review changes on current branch and output a structured review. Optionally post to PR with --pr flag, or apply non-blocking follow-ups inline with --apply-followups. allowed-tools: Bash(git:*), Bash(gh:*), Bash(uv run:*), Read, Edit, Write, Glob, Grep, Agent, AskUserQuestion version: 2.4.0 public: true ---
# Interactive Code Review
Review committed changes on the current feature branch and output a structured review.
Requires being on a non-main branch with commits ahead of main. If not, stop and tell the user: "Switch to a feature branch with commits to review. This skill reviews committed changes on feature branches (git diff main...HEAD)."
## Arguments
- `--pr` — Post the review as a PR comment (requires an existing PR on the branch) - `--apply-followups` — After the review, apply all non-blocking follow-ups inline without prompting. Has no effect if the verdict is `CHANGES_REQUESTED` (blockers exist) or if the review reports no follow-ups. Without this flag, the skill prompts the user interactively before applying. - No arguments — Just output the review locally, no PR interaction. If follow-ups exist, prompt the user once at the end (see Step 6).
## Process
### Step 1: Verify branch state
1. Check current branch: `git branch --show-current` - If on `main` or `master`, stop and tell the user to switch to a feature branch 2. Check for uncommitted changes: `git status --porcelain` - If there are uncommitted changes, warn the user but proceed with reviewing committed changes 3. Check if branch has commits ahead of main: `git log main..HEAD --oneline` - If no commits ahead, stop and tell the user there's nothing to review
### Step 2: Find PR (only if --pr flag is set)
1. Look up existing PR: `gh pr view --json number,url,title 2>/dev/null` 2. If no PR exists, stop and tell the user to create one first (do NOT create a PR automatically) 3. Capture the PR number and URL
### Step 3: Capture review context in the parent session
Capture canonical ask context before spawning the reviewer: - If the caller already provided a `## Review scope:` section, pass it through unchanged, along with any `## Original plan context (out of scope except for the review scope):` section. - Otherwise, if the caller already provided exactly one canonical ask section (`## Original plan:` or `## Original request:`), pass that section through unchanged. - Otherwise, try to resolve ask context from the branch's linked gza task chain (`uv run gza show <TASK_ID>` / `uv run gza log <TASK_ID>` is preferred once you identify the task for this branch). - If linked ask content exists but is unavailable on this machine, pass an explicit unavailable-content marker section (for example, `## Original plan:` followed by `(plan task <TASK_ID> exists but content unavailable on this machine - flag as blocker)`). - If no retrievable plan or request exists for this branch, pass no ask section and let the reviewer state: `No plan or request provided.`
Then capture the committed diff: - If the caller already provided diff context, use that as-is and do not reconstruct it. Otherwise, collect the committed branch diff once in the parent session: ```bash git diff main...HEAD ``` Pass this diff to the subagent as `## Implementation diff context`.
### Step 4: Run the review
Spawn a **general-purpose Agent** subagent to perform the review. Give it this prompt (include the captured diff context):
---
You are reviewing a pull request. Your job is to read the project review guidelines, examine the diff, and produce a structured review.
**Step 1**: Read `REVIEW.md` from the project root for review guidelines and criteria.
**Step 2**: Start with a repo-rules/learnings pass: compare the diff and behavior against AGENTS.md, REVIEW.md, project docs, and `.gza/learnings.md`; call out violations or regressions explicitly. Keep this review stack-agnostic. If project verification instructions are missing, state that explicitly in assumptions/risks.
**Step 3**: The provided diff is authoritative - do not use git commands to reconstruct, re-derive, or expand it. You may read unchanged source files when surrounding context is needed to judge correctness.
**Step 3.5**: When you need to verify behavior that isn't visible in the diff (e.g., whether a CLI command exists, how a called function works, what a referenced method does), use the Read, Grep, or Glob tools to check the current codebase. Do not guess or assume — verify.
**Step 3.7**: If `## Review scope:` is present, grade ask-adherence against that section only and use any original-plan-context section only for boundaries/contracts. Otherwise, review the diff against the provided canonical ask context (`## Original plan:` or `## Original request:`). If ask content is marked unavailable, call that out as a blocker. If neither ask section is provided, state `No plan or request provided.`
**Step 4**: Write a structured review with these sections:
```markdown ## Summary
<Provide 3-5 bullets summarizing the review> <Then answer this checklist with exactly 6 bullets in `Yes/No - ...` form and one short evidence clause each:> <- Did I check the diff against AGENTS.md and `.gza/learnings.md` and flag any violations/regressions?> <- Did I check for silent broad-exception fallbacks that mask errors while changing user/agent-visible state?> <- Did I check for misleading output (contradictory UI/prompt/context signals)?> <- Was a `## Review scope:` section provided, and if so did I grade ask-adherence against that scope while treating sibling slices as non-blocking unless they break an explicit contract? Otherwise, was an `## Original plan:` or `## Original request:` section provided, and did I verify ask-adherence against it while calling out intentional deviations? If neither was provided, did I state "No plan or request provided."?> <- Did I require targeted regression tests that match each failure mode (not generic "add tests")?> <- If config, CLI, or operator-facing behavior changed, did I verify docs/help/release-note impact?>
## Blockers
<Use ### B1, ### B2, ... for blockers. If none, write "None."> <Each blocker should include Evidence:, Open-state citation:, Impact:, Required fix:, Required tests:> <Class-of-issue enumeration: when one blocker is an instance of a repeated code-surface pattern (lookup table, classifier, dispatcher, schema/field mapping, multi-field validator, or parallel per-field/per-type handling), audit for analogous gaps before writing the blocker. The audit boundary is the affected file plus any other files in the same module (the same depth-3 path under `src/`) that were touched by the diff, plus any obvious same-module sibling of the affected file.> <Report all still-open gaps for that same class in one blocker, with every affected `path:line` or `path:start-end` citation included in `Open-state citation:` regardless of file, and a `Required fix:` that closes the whole class.> <Do not create one blocker per field, branch, case, table row, or file unless the required fixes are materially different.> <Do not expand the audit beyond the same module, and do not expand isolated one-off defects - this rule applies only after you have found a repeated-pattern blocker shape.> <Reserve BLOCKER for: correctness defects, behavior regressions, repository/rules violations, missing observability for user/agent-visible fallbacks, and misleading output/contradictory signals.> <Treat unexplained deviations from the provided review scope, plan, or request as BLOCKER.> <If `## Review scope:` is present, grade ask-adherence against that section only. Use any original plan context section only to understand boundaries and integration contracts.> <Do not raise blockers solely because deferred sibling slices from the original plan are not implemented; only raise blockers when in-scope work is missing/broken or the diff violates an explicit integration contract described in the review scope or plan context.> <Treat silent broad-exception fallbacks as BLOCKER when they can alter user/agent-visible state without clear warning/error surfacing.> <Treat misleading output (UI/prompt/context contradictions) as BLOCKER when it can cause incorrect operator or agent decisions.> <If config/CLI/operator-facing behavior changed, missing or incorrect docs/help/release-note updates are BLOCKER when they can mislead operators.> <Use FOLLOWUP for actionable low-risk debt that should be tracked but should not block merge.> <For each blocker, give a clear closure condition so an improve task can resolve all blockers in one pass.> <For class-of-issue blockers, the closure condition must cover every enumerated instance across all cited paths, not just the first example.> <Every BLOCKER must be falsifiable: `Evidence:` and `Open-state citation:` must show the current still-open state, and `Required fix:` must describe the concrete change needed to close it.> <Do not write a `BLOCKER` unless you can cite the current code or current diff proving the issue is still open.> <Prior review text, improve lineage, or task history are not sufficient evidence for a blocker.> <Improve-lineage context may justify a narrow current-source anti-regression check for repeated blocker shapes the latest improve was expected to close, but it is only a pointer to inspect the current code/diff. It is not independent blocker evidence and must not substitute for current proof on this diff.> <Review current code, diff, and scope only.> <Do not run or evaluate `verify_command`; verification is handled elsewhere.> <Do not create blockers because verification failed, timed out, was skipped, or was unavailable.> <If code has a test-quality issue, cite the concrete code/test issue directly rather than runner verify status.> <Severity shorthand: `BLOCKER` means merge-blocking; `FOLLOWUP` means non-gating but task-worthy; `NIT` is omitted from canonical output.> <Do not add a per-finding `Severity:` line; the `## Blockers` and `## Follow-Ups` sections are the severity field.> <Derive the final verdict from the findings:> <cannot classify safely -> `NEEDS_DISCUSSION`> <Borderline cases must include a one-sentence rubric justification in `Impact:`, `Required fix:`, or `Recommended follow-up:`> <A broad exception that can mask visible state or swallow a user/agent-visible failure is a `BLOCKER`.> <An adjacent-path coverage sweep that would strengthen confidence without proving the current slice unsafe is a `FOLLOWUP`.> <Open-state citation must contain one or more current-source references in `path:line` or `path:start-end` form; backticked citations and comma-separated multiple citations are allowed.>
## Follow-Ups
<Use ### F1, ### F2, ... for non-blocking actionable follow-ups. If none, write "None."> <Each follow-up should include Evidence:, Impact:, Recommended follow-up:, Recommended tests:> <Do not include NIT findings in canonical output.>
## Questions / Assumptions
<Bullet list of open questions/assumptions. If none, write "None.">
## Verdict
<Brief justification> <Verdict is derived from the findings: no blockers/no follow-ups -> APPROVED; no blockers/at least one follow-up -> APPROVED_WITH_FOLLOWUPS; any blocker -> CHANGES_REQUESTED; cannot classify safely -> NEEDS_DISCUSSION.> Verdict: APPROVED|APPROVED_WITH_FOLLOWUPS|CHANGES_REQUESTED|NEEDS_DISCUSSION ```
Do not rename, omit, or reorder these sections.
If a PR number is provided, post the review as a PR comment: ```bash gh pr comment <PR_NUMBER> --body "<review content>" ```
Use a heredoc for the body to handle multi-line content properly.
If no PR number is provided, just output the review directly.
---
Pass the authoritative diff context (`## Implementation diff context`), the `## Review scope:` section when available, otherwise the canonical ask context section (exactly one of `## Original plan:` or `## Original request:` when available), and the PR number (if `--pr` was used and a
Technical details
- Version
- 2.4.0
- License
- MIT
- Last updated
- Aug 21, 2026
- Published
- Aug 21, 2026
Decision snapshot
Needs validation
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 75/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for gza-code-review-interactive, ready for a manual X post.
gza-code-review-interactive: Review changes on current branch and output a structured review. Optionally post to PR with -... 11 stars https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive?ref=x
Optional reply with install command
Listing + install path for gza-code-review-interactive: https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive?ref=x Install: npx skills add mhawthorne/gza --skill gza-code-review-interactive
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- mhawthorne
- Source
- mhawthorne/gza
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to mhawthorne but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive/audit)
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)Author
mhawthorne
@mhawthorne
Tags
Platform fit
Health signals
- GitHub stars
- 11
- Quality score
- 31/100
- Last GitHub push
- Aug 21, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption11 GitHub starsFIX
- Stars/forks activity11 stars, 1 forks; issue activity unavailable in current metadataFIX
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surfaceINFO
Related skills
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsGrill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
164.7K StarsTo Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
164.7K StarsTo Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
176.7K Stars