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Claude Skills by chan4lk

github.com/chan4lk
20 skillsA× 200 installs10 views
ArchiveA

Move a completed change to .specclaw/changes/archive/ under its existing name. Closes the GitHub Issue (if sync is enabled) and optionally creates a git tag. Use after a change is merged — the PR is complete and the change should leave the active list.

ai-agentsazuregit
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Auth AzdoA

Interactive setup for Azure DevOps authentication. Prompts for organization, project, and repo, validates a Personal Access Token, and saves credentials to gitignored .specclaw/.env. Run once per project before /specclaw:pr-azdo.

ai-agentsshellazure
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Auth JiraA

Interactive setup for Jira authentication. Prompts for domain, email, project key, and issue type, validates an Atlassian API token, and saves credentials. Run once per project before /specclaw:issue.

ai-agentsshellgit
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12
Author SpecA

Interactively co-author spec.md for an approved proposal via the spec-author subagent. The agent walks the user through the spec template section by section, applying named brainstorming techniques (5 Whys, Jobs-to-be-Done, Inversion, Pre-mortem, MoSCoW) and challenging vague requirements. Use when you want a high-quality, dialogue-driven spec instead of the single-shot one /specclaw:plan produces by default. Standalone alternative to /specclaw:plan --author-spec.

ai-agentsazuregit
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12
AutoA

Run the propose → plan → build → verify lifecycle autonomously across the queue of active changes. Advanced — requires automation config in config.yaml. Use when you want specclaw to advance every change to its next phase without prompting; do not use for a single targeted change (use the specific verb instead).

ai-agents
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12
Azdo IssueA

Create or update an Azure Boards Work Item that mirrors this proposal. Targets Azure DevOps Boards (Features / User Stories / Tasks / Bugs / Epics) using the credentials from /specclaw:auth-azdo. Mirrors /specclaw:issue (Jira) and the GitHub Issues sync but for ADO Boards. Requires `azdo.boards.sync: true` in config.yaml.

ai-agentsbashazure
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BuildA

Implement planned tasks by executing them wave-by-wave, committing each, and logging errors and learnings. Reads tasks.md and drives the build loop. The longest-running phase of the specclaw lifecycle. Run after /specclaw:plan has produced spec.md, design.md, and tasks.md.

ai-agentsgobash
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ContextA

Manage the project's living context document (.specclaw/context.md). View, add, or edit project-level rules, patterns, coding style, and architecture decisions that all lifecycle skills load automatically. Use show to view, add to append a rule, edit to rewrite a section, reset to restore from template.

ai-agentsgit
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12
InitA

Initialize specclaw in this project. Creates the .specclaw/ directory, generates config.yaml from the template, and sets up the project dashboard. Run once per project before any other specclaw command.

ai-agentsgit
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IssueA

Create a Jira issue for a proposed change. Mirrors GitHub Issues sync but for Jira-based teams. Builds the issue summary and description from proposal.md and spec.md. Requires credentials from /specclaw:auth-jira. Idempotent — warns if a Jira issue already exists for this change.

ai-agentsgitapi
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LearnA

Record a build learning — a spec gap, design miss, recurring pattern, or insight discovered during implementation. Appends to .specclaw/changes/<change>/learnings.md. Use mid-build to capture knowledge before it's lost; do not use for routine progress updates.

ai-agentsgobash
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12
LoopA

Autonomously iterate build→verify→review until every gate is green or a guardrail halts. Drives the specclaw-loop controller — evaluate gates, reflect, fix the smallest diff, re-verify the whole change, and repeat. Use when asked to loop, iterate until done, or keep fixing until tests pass / verify passes / review is clean. Default-on around /specclaw:build and /specclaw:verify.

ai-agentsgobash
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PatternsA

Inspect the cross-change pattern registry. Track recurring errors and learnings across changes; promote patterns with 3+ occurrences to prevention rules. Use to see what keeps happening before planning a new change.

ai-agentsbash
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PlanA

Generate spec, design, and ordered task list for an approved proposal. Reads proposal.md, analyzes the codebase, then writes spec.md, design.md, and tasks.md. Run after /specclaw:propose has been approved, before /specclaw:build.

ai-agentsgobash
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12
Pr AzdoA

Create an Azure DevOps pull request for a verified change. Mirrors /specclaw:pr but targets ADO Repos via REST API instead of GitHub. Requires credentials from /specclaw:auth-azdo. Use when the project uses Azure DevOps instead of GitHub.

ai-agentsazuregit
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12
PrA

Create a GitHub pull request for a verified change. Reads verify-report.md, opens a PR with title from proposal and body from spec, enforces the configured test policy. Requires the gh CLI authenticated. Run after /specclaw:verify produces a verify-report.md. For Azure DevOps PRs, use /specclaw:pr-azdo instead.

ai-agentsazuregit
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ProposeA

Draft a new change proposal. INVOKE IMMEDIATELY whenever the user mentions a proposal, feature idea, change request, new initiative, or anything they want to add/build/implement — do NOT gather details conversationally first. The skill itself will ask for any missing information after invocation. Creates .specclaw/changes/<name>/proposal.md with problem statement, solution, scope, impact, and open questions. When party.enabled is set, also runs the adversarial review panel over the draft — as...

ai-agentsgobash
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RenumberA

Backfill ordinal number prefixes onto existing change folders — renames .specclaw/changes/<name>/ to <NNN>-<name> in creation-date order, across active and archived changes alike. Use when /specclaw:status or /specclaw:propose reports unnumbered changes, when `ls .specclaw/changes/` reads alphabetically instead of chronologically, or when the user asks to number, renumber, or reorder change folders. Shows a dry-run plan and renames nothing without explicit confirmation.

ai-agents
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StatusA

Show the project's specclaw dashboard — active changes, completed changes, pending proposals, blocked work. Reads .specclaw/STATUS.md. Read-only; does not modify state.

ai-agents
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VerifyA

Validate that the implementation satisfies the spec's acceptance criteria. Runs the configured test/lint/build commands, evaluates against spec.md, and produces verify-report.md. Required before /specclaw:pr. Run after all tasks in /specclaw:build are complete.

ai-agentsgobash
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12