completion-core
Standardizes task completion, including pushing changes, generating reporting URLs, and logging lifecycle events.
Install
mkdir -p .claude/skills/completion-core && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/17248" && unzip -o skill.zip -d .claude/skills/completion-core && rm skill.zipInstalls to .claude/skills/completion-core
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use when completing skill task workflows with push, URL generation, lifecycle event append, and executive summary reporting. Also use when generating structured completion signals or appending lifecycle events to issue bodies. Invoke for: completion signal, push, URL generation, lifecycle event append, executive summary reporting. Completion signals MUST be clear and structured — always required. Trigger phrases: complete task, signal completion, generate URL, append lifecycle event, executive summary.Key capabilities
- →Generate structured completion signals
- →Push changes to a repository
- →Generate URLs for completed tasks
- →Append lifecycle events to issue bodies
- →Report executive summaries for task completion
How it works
This skill routes completion operations to sub-agents, ensuring independent verification of completion state. It enforces strict protocols for dispatching tasks to sub-agents, preventing preloading of context.
Inputs & outputs
When to use completion-core
- →Completing task workflows
- →Reporting summary findings
- →Logging lifecycle events
- →Generating completion signals
About this skill
Completion Core — Shared Completion Operations
Persona
Completion signaler. Routes lifecycle event generation and status reporting to sub-agents that independently verify completion state. An orchestrator that signals completion inline instead of dispatching to a verification sub-agent has produced a self-declaration, not a verified completion — every status claim carries the orchestrator's own assessment rather than an independent check. Professional completion signalers dispatch to verifiers. Inlining means completion was never independently confirmed.
Worktree Mode
This skill operates in the main repo directory (direct-branch mode). When WORKTREE_REQUIRED is set, all file operations MUST prefix paths with worktree.path.
Mandatory Task Discipline
- 1. Every task and sub-task in this skill is mandatory
- 2. Skipping, combining, optimizing out, or performing inline work that should be delegated to a sub-agent produces defective deliverables that must be discarded
- 3. Each step must be dispatched to a sub-agent via
task()unless explicitly marked as inline/orchestrator in this skill - 4. Return only routing-significant data:
status,finding_summary,artifact_path,blocker_reason. Full evidence goes to disk.
Workflows
Complete a skill task workflow
When the agent needs to push a branch, generate a URL, append a lifecycle event, or report an executive summary.
- 1. completion — Pushes the branch, generates the URL, appends the lifecycle event, and reports the executive summary
- Prompt:
task(subagent_type="general", prompt: concat("You are a sub-agent. Follow the instructions in [complete skill task workflow](.opencode/skills/completion-core/tasks/completion.md). workflow_state: ", workflow_state, ", issue_number: ", issue_number))Context passed:{workflow_state, issue_number}Returns:{status, finding_summary, artifact_path, blocker_reason}Execution mode: sub-agent dispatch
- Prompt:
Entry gate: verification-before-completion PASS required before any completion operation.
Verification IS completion — the concept is fused. If verification FAILS, the agent remediates autonomously before attempting completion. There is no completion without verification PASS, and there is no escalation without verified remediation failure.
Common Completion Operations
Read the full completion operations (push branch, generate URL, append lifecycle event, executive summary).
DISPATCH_GATE — Orchestrator task() Prompt Protocol
Context cost frame: These are internal operational bookkeeping notes describing how context flows through the pipeline — they are NOT implementation complexity measures. Implementation work is measured ONLY by whether tested verified correct code operations pass with 100% clean PASS. This cost frame applies to orchestrator context only — it does NOT mean the agent should minimize message count, pipeline steps, or user-facing output.
The orchestrator MUST NOT preload execution context into task() prompts.
Every sub-agent MUST independently discover scope and produce its own result contract.
Forbidden in task() Prompts
| Violation | Forbidden Pattern | Correct Pattern |
|---|---|---|
| Preloaded file paths | "Read cleanup/branch-cleanup.md then execute step 1" | "execute cleanup task from git-workflow" |
| Preloaded step sequences | "Step 1: sync $DEFAULT_BRANCH. Step 2: delete branch." | "execute cleanup task from git-workflow" |
| Preloaded expected outcomes | "Return { cleanup_status, branch_deleted }" | Let sub-agent define its own result contract |
| Preloaded orchestrator reasoning | "The merge was just completed so we need to..." | Pure objective, no narrative |
| Missing task file discovery directive | "execute cleanup task from git-workflow" without task file path | "execute cleanup task from git-workflow. Read `git-workflow-cleanup/tasks/cleanup.md` first" |
Required: Sub-agent Task File Discovery Directive
Every task() prompt that dispatches a named task MUST include a discovery directive in the format:
execute <task> from <skill>. Read `<skill>/tasks/<task>.md` first
This directive tells the sub-agent which task file to load independently — it is NOT preloading the file content. The sub-agent opens and reads the task file in its own clean-room context, discovers the procedure, and executes autonomously. Without this directive, the sub-agent must search for the correct task file, which is wasted context and routing ambiguity.
This is NOT a violation of the preloading prohibition. The task file path is routing metadata (which file to load), not execution context (what the file contains). The sub-agent still reads the file independently and discovers scope on its own.
Dispatch Context Contract
Every task() call MUST include only:
worktree.pathgithub.ownergithub.repoauthorization_scopehalt_atpipeline_phase
Plus skill-specific fields per the ## Sub-Agent Routing section above.
Exclusions (MUST NOT be in prompt):
orchestrator_reasoningexpected_outcomesinline_file_pathsagent_memorycached_verification_results
Orchestrator Entry Criteria
Reading the Workflows section in the orchestrator's own context is small, necessary, routing-relevant work assigned to the orchestrator by allocation-by-context-cost: the skill card is routing metadata the orchestrator must hold, and sub-agents cannot call skill() or load skills. The no-preloaded-context substance below is unchanged.
After loading this skill and reading the Workflows section, the orchestrator MUST:
- Use the exact
task(..., prompt: "...")string from the table - NOT write a custom prompt with preloaded context
- NOT add orchestrator reasoning, file paths, step sequences, or expected outcomes
- If the canonical dispatch produces an empty result: re-task clean-room with the same canonical string (max 2 retries)
Sub-Agent Routing
DISPATCH_GATE — Orchestrator task() Prompt Protocol
Context cost frame: These are internal operational bookkeeping notes describing how context flows through the pipeline — they are NOT implementation complexity measures. Implementation work is measured ONLY by whether tested verified correct code operations pass with 100% clean PASS. This cost frame applies to orchestrator context only — it does NOT mean the agent should minimize message count, pipeline steps, or user-facing output.
The orchestrator MUST NOT preload execution context into task() prompts.
Every sub-agent MUST independently discover scope and produce its own result contract.
Forbidden in task() Prompts
| Violation | Forbidden Pattern | Correct Pattern |
|---|---|---|
| Preloaded file paths | "Read cleanup/branch-cleanup.md then execute step 1" | "execute cleanup task from git-workflow" |
| Preloaded step sequences | "Step 1: sync $DEFAULT_BRANCH. Step 2: delete branch." | "execute cleanup task from git-workflow" |
| Preloaded expected outcomes | "Return { cleanup_status, branch_deleted }" | Let sub-agent define its own result contract |
| Preloaded orchestrator reasoning | "The merge was just completed so we need to..." | Pure objective, no narrative |
Dispatch Context Contract
Every task() call MUST include only:
worktree.pathgithub.ownergithub.repoauthorization_scopehalt_atpipeline_phase
Plus skill-specific fields per the ## Sub-Agent Routing section above.
Exclusions (MUST NOT be in prompt):
orchestrator_reasoningexpected_outcomesinline_file_pathsagent_memorycached_verification_results
Orchestrator Entry Criteria
Reading the Workflows section in the orchestrator's own context is small, necessary, routing-relevant work assigned to the orchestrator by allocation-by-context-cost: the skill card is routing metadata the orchestrator must hold, and sub-agents cannot call skill() or load skills. The no-preloaded-context substance below is unchanged.
After loading this skill and reading the Workflows section, the orchestrator MUST:
- Use the exact
task(..., prompt: "...")string from the table - NOT write a custom prompt with preloaded context
- NOT add orchestrator reasoning, file paths, step sequences, or expected outcomes
- If the canonical dispatch produces an empty result: re-task clean-room with the same canonical string (max 2 retries)
[critical-rules-016] Skipping Completion Guarantee on Workflow Halt
Call --task completion on current skill before halting. Amateurs abandon workflows mid-stream. Professionals close out every skill before halting.
When not to use it
- →When the orchestrator preloads execution context into task prompts
- →When the sub-agent receives a prompt with inline file paths or step definitions
- →When the sub-agent receives a prompt with pre-loaded evidence or orchestrator-derived conclusions
Limitations
- →Sub-agents must reject prompts containing preloaded context.
- →The orchestrator must not preload execution context into task prompts.
- →Verification is required before any completion operation.
How it compares
This skill ensures independent verification of completion by dispatching to sub-agents, rather than allowing an orchestrator to self-declare completion without external checks.
Compared to similar skills
completion-core side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| completion-core (this skill) | 0 | 1mo | No flags | Intermediate |
| linear | 10 | 2mo | No flags | Beginner |
| zapier-workflows | 11 | 9mo | Review | Beginner |
| attio-skill-generator | 7 | 7mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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