Agent QA Authoring
vostride/agent-qa
A skill your agent uses when creating, editing, validating, or running agent-qa tests, suites, or hooks.
Guides the full lifecycle of a feature-implementation tagged MCP item (the feature container) — from queue through review.
$ npx skills add jpicklyk/task-orchestrator --skill feature-implementation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jpicklyk/task-orchestrator feature-implementation --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/jpicklyk/task-orchestrator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/feature-implementation .claude/skills/feature-implementation && 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 "feature-implementation" agent skill from https://github.com/jpicklyk/task-orchestrator/tree/main/.claude/skills/feature-implementation into .claude/skills/feature-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-implementation", 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/jpicklyk/task-orchestrator/tree/main/.claude/skills/feature-implementationType 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 jpicklyk/task-orchestrator --skill feature-implementation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jpicklyk/task-orchestrator feature-implementation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jpicklyk/task-orchestrator.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/feature-implementation .agents/skills/feature-implementation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "feature-implementation" agent skill from https://github.com/jpicklyk/task-orchestrator/tree/main/.claude/skills/feature-implementation into .agents/skills/feature-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-implementation", 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 jpicklyk/task-orchestrator --skill feature-implementation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jpicklyk/task-orchestrator feature-implementation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jpicklyk/task-orchestrator.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/feature-implementation .cursor/skills/feature-implementation && 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 "feature-implementation" agent skill from https://github.com/jpicklyk/task-orchestrator/tree/main/.claude/skills/feature-implementation into .cursor/skills/feature-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-implementation", 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/jpicklyk/task-orchestrator.git --path .claude/skills/feature-implementation--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 jpicklyk/task-orchestrator --skill feature-implementation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jpicklyk/task-orchestrator feature-implementation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jpicklyk/task-orchestrator.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/feature-implementation .gemini/skills/feature-implementation && 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 "feature-implementation" agent skill from https://github.com/jpicklyk/task-orchestrator/tree/main/.claude/skills/feature-implementation into .gemini/skills/feature-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-implementation", 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 jpicklyk/task-orchestrator feature-implementationInstalls 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 jpicklyk/task-orchestrator --skill feature-implementation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jpicklyk/task-orchestrator.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/feature-implementation .github/skills/feature-implementation && 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 "feature-implementation" agent skill from https://github.com/jpicklyk/task-orchestrator/tree/main/.claude/skills/feature-implementation into .github/skills/feature-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-implementation", 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 jpicklyk/task-orchestrator --skill feature-implementation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jpicklyk/task-orchestrator feature-implementation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jpicklyk/task-orchestrator.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/feature-implementation .opencode/skills/feature-implementation && 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 "feature-implementation" agent skill from https://github.com/jpicklyk/task-orchestrator/tree/main/.claude/skills/feature-implementation into .opencode/skills/feature-implementation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-implementation", 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.
feature-implementationGuides the full lifecycle of a feature-implementation tagged MCP item (the feature container) — from queue through review.
Feature Implementation is an agent skill from jpicklyk/task-orchestrator. Guides the full lifecycle of a feature-implementation tagged MCP item (the feature container) — from queue through review. Creates or resumes the feature container, fills gate-enforced notes at each phase (feature-summary, implementation-notes, session-tracking, review-checklist), dispatches implementation subagents, and advances through queue, work, and review to terminal. Use when the user says: implement a feature, start a new feature, feature workflow, resume feature work, guide feature lifecycle, or…
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what… The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b688ea0. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Feature Implementation loads about 2.2k tokens when it runs. Until then it costs about 145 tokens; SKILL.md has 938 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); files beside SKILL.md are not scanned.
The full file from jpicklyk/task-orchestrator at commit b688ea0, republished under its MIT licence (© jpicklyk). 938 words, ~2,214 tokens.
.claude/skills/feature-implementation/SKILL.md (or your agent's skills folder).End-to-end workflow for a feature-implementation tagged item — the feature container
that holds the plan and holistic review. Child work items under this container use the
feature-task tag with lighter gates (task-scope instead of the feature-level
feature-summary, and no review phase by default — task-level review is opt-in via the
needs-task-review trait, which adds a review-checklist note to that child). A second
child-level trait, needs-test-author, is opt-in the same way (applied per the
/implement Step 1 trigger rule) and adds its own gate-enforced notes.
Covers all three phases (queue → work → review) with gate-enforced notes at each transition.
Usage: /feature-implementation [item-uuid]
item-uuid is provided: load the existing item and resume from its current phaseIf an item UUID was provided, call:
get_context(itemId="<uuid>")Check canAdvance and missingRequiredNotes to determine which phase the item is in,
then jump to the appropriate phase below.
If no UUID was provided, create the item:
manage_items(
operation="create",
items=[{ title: "<feature title>", tags: "feature-implementation", priority: "medium" }]
)Note the returned UUID and expectedNotes list. Confirm the item is in queue role,
then continue to Phase 1.
Goal: Fill the single required queue-phase note before advancing to work.
feature-summaryUse manage_notes to upsert the feature-summary note:
manage_notes(
operation="upsert",
notes=[{
itemId: "<uuid>",
key: "feature-summary",
role: "queue",
body: "<content>"
}]
)What to write: Keep this note lean (target under 2k chars) — it stays at the feature level, not the child-task level where the full spec-quality disciplines apply. Cover:
task-scope note carries its own alternatives/non-goals/blast-radius/risk/test
strategy per the spec-quality framework); this note does not repeat that analysis.After filling the note, use EnterPlanMode to explore the codebase and produce a concrete
implementation plan. The pre-plan hook will inject additional guidance.
When the plan is approved, post-plan hook fires — proceed directly to Phase 2 without pausing.
advance_item(transitions=[{ itemId: "<uuid>", trigger: "start" }])Gate check: feature-summary must be filled. If gate rejects, fill the missing note and retry.
If instead the response has errorCode: "resource_unavailable" (errorKind: "transient"), this
is resource-lease contention, not a note gate failure — see Quick Reference below.
Confirm newRole: "work" in the response before dispatching implementation subagents.
Goal: Delegate implementation, then fill work-phase notes before advancing to review.
If the feature has sub-tasks, create them now using create_work_tree with the feature UUID
as parentId and the feature-task tag. Each child fills a task-scope queue note (the
full spec-quality disciplines — alternatives, non-goals, blast radius, risk flags, test
strategy — apply there, not in the feature-level feature-summary). Dispatch
implementation subagents with each child item UUID.
Each subagent must:
advance_item(trigger="start") on their item to enter work phaseguidancePointer and skillPointer)advance_item again. The orchestrator
handles all further transitions.By default, feature-task items have no review phase — advance_item(trigger="start")
from work goes straight to terminal. A child only gets a review phase if it (or its
schema's default_traits) carries the needs-task-review trait, which adds the
review-checklist note back in, or the needs-test-author trait, which adds
test-independence-audit.
implementation-notesAfter implementation agents return:
manage_notes(
operation="upsert",
notes=[{
itemId: "<uuid>",
key: "implementation-notes",
role: "work",
body: "<content>"
}]
)What to write: Key decisions made during implementation. Deviations from the plan. Any surprises (wrong class names, API differences, test isolation issues). Files changed with line counts. If an observation was fixed, reference its item ID.
session-trackingmanage_notes(
operation="upsert",
notes=[{
itemId: "<uuid>",
key: "session-tracking",
role: "work",
body: "<content>"
}]
)What to write: Run ./gradlew :current:test. Report total count and any failures,
new test classes or cases added, and a summary of what changed this session. This note
comes from the session-tracked default trait and feeds /session-retrospective.
advance_item(transitions=[{ itemId: "<uuid>", trigger: "start" }])Gate check: both implementation-notes and session-tracking must be filled.
Confirm newRole: "review" in the response.
Goal: Fill the required review-checklist note (per the review-quality skill), deploy
and verify in the running MCP server, then close the item.
review-checklistFollow the review-quality skill's framework — plan alignment against feature-summary
and each child's task-scope, test quality, and (if /simplify ran) test coverage of its
changes.
manage_notes(
operation="upsert",
notes=[{
itemId: "<uuid>",
key: "review-checklist",
role: "review",
body: "<content>"
}]
)What to write: A feature-level verdict aggregating across children — reference each
child's own review-checklist if the needs-task-review trait produced one. See the
review-quality skill for the full findings format and verdict types (Pass / Fail —
blocking issues / Pass with observations).
Run /deploy_to_docker --current to rebuild the image with the new code.
Reconnect MCP after deploy: /mcp.
Exercise the new capability via MCP tool calls. Confirm it behaves as described in the
feature-summary note's goal.
deploy-notes (optional)manage_notes(
operation="upsert",
notes=[{
itemId: "<uuid>",
key: "deploy-notes",
role: "review",
body: "<content>"
}]
)What to write: Whether a Docker rebuild was done and what image tag was used. Plugin version bump (if any). MCP reconnect required. Any smoke test results.
advance_item(transitions=[{ itemId: "<uuid>", trigger: "start", summary: "<one-line summary>" }])Confirm newRole: "terminal". Run get_context() health check to verify no stalled items.
| Phase | Required notes | Advance trigger |
|---|---|---|
| queue | feature-summary | start → work |
| work | implementation-notes, session-tracking | start → review |
| review | review-checklist | start → terminal |
Gate error pattern: "required notes not filled for <phase> phase: <keys>"
→ Fill the listed notes, then retry advance_item.
Resource-lease contention pattern: applied: false, errorCode: "resource_unavailable",
errorKind: "transient", contendedResources: [...] on a start into work — a different
failure mode than the gate error above. Do NOT fill notes or spin-retry; the resource is held by
another item. Work a different item and retry later, or report contention upstream.
© jpicklyk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/feature-implementation of jpicklyk/task-orchestrator.
Open the folder on GitHubat commit b688ea0
Feature Implementation 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 |
|---|---|---|---|---|---|---|
| Feature Implementation this skilljpicklyk/task-orchestrator | 207 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Agent QA Authoringvostride/agent-qa | 902 | — | ~569 | Automated safety check: Pass | Custom licence | |
| Agent QA Result Triagevostride/agent-qa | 902 | — | ~394 | Automated safety check: Pass | Custom licence | |
| Lightpandalightpanda-io/agent-skill | 101 | — | ~6k | Automated safety check: Pass | Apache-2.0 | |
| Opik Comparecomet-ml/opik-mcp | 219 | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Cao Providerawslabs/cli-agent-orchestrator | 1.4k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 |
vostride/agent-qa
A skill your agent uses when creating, editing, validating, or running agent-qa tests, suites, or hooks.
vostride/agent-qa
A skill your agent uses when investigating failed agent-qa runs, inspecting artifacts, classifying failures, or comparing recent runs.
lightpanda-io/agent-skill
Lightpanda browser, drop-in replacement for Chrome-based browsing in any AI agent - faster and lighter for tasks without graphical rendering like data retrieval.
comet-ml/opik-mcp
Run a candidate against the baseline over an Opik test suite and read the numbers back — which cases broke, which got fixed, the per-metric deltas, worst rows, and whether the two runs are…
awslabs/cli-agent-orchestrator
Create a new CLI agent provider for CAO (CLI Agent Orchestrator).
microsoft/waza
Walks you through creating, running and reading waza evals for an agent skill, then proposes concrete fixes when tasks fail or the score is low.
jpicklyk/task-orchestrator
Walks through how to launch and reach the MCP Task Orchestrator server container: transport, REST API, port publishing, config mounts and config-sync.
jpicklyk/task-orchestrator
Resolves ready MCP work items into a run plan, shows it to you, then executes it through the Workflow tool or direct subagent dispatch, with post-run verification.
jpicklyk/task-orchestrator
Migrates an existing unscoped Task Orchestrator database to the project-scoping convention in place, creating one project anchor root and re-parenting work trees under it after a mandatory dry run.
jpicklyk/task-orchestrator
Completes or cancels a whole feature subtree, a named list of items, or a batch of stale work items at once, previewing the impact and warning before force-completing anything active.
jpicklyk/task-orchestrator
Creates an MCP work item from conversation context, anchoring it under the right container, inferring type and priority and pre-filling the required notes.
jpicklyk/task-orchestrator
Views, creates, deletes and diagnoses BLOCKS, IS_BLOCKED_BY and RELATES_TO links between MCP work items, including why an item cannot start.
Works with
Categories
Guides the full lifecycle of a feature-implementation tagged MCP item (the feature container) — from queue through review. Feature Implementation is an agent skill from jpicklyk/task-orchestrator. Guides the full lifecycle of a feature-implementation tagged MCP item (the feature container) — from queue through review.
Feature Implementation fits situations like: the user says: implement a feature; start a new feature; feature workflow; resume feature work.
Run `npx skills add jpicklyk/task-orchestrator --skill feature-implementation -a claude-code`. Or copy the skill folder (.claude/skills/feature-implementation in jpicklyk/task-orchestrator) into .claude/skills/feature-implementation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jpicklyk/task-orchestrator --skill feature-implementation -a codex`. Or copy the skill folder (.claude/skills/feature-implementation in jpicklyk/task-orchestrator) into .agents/skills/feature-implementation 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 jpicklyk/task-orchestrator --skill feature-implementation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feature-implementation, .gemini/skills/feature-implementation, .github/skills/feature-implementation and .opencode/skills/feature-implementation in your project.
SKILL.md names no scripts, command-line tools or credentials: Feature Implementation is instructions for the agent only. Our summary lists: Docker.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. Review the folder before installing.
Feature Implementation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.9k 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 Feature Implementation: Agent QA Authoring (vostride/agent-qa, 902 stars), Agent QA Result Triage (vostride/agent-qa, 902 stars), Lightpanda (lightpanda-io/agent-skill, 101 stars) and Opik Compare (comet-ml/opik-mcp, 219 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jpicklyk (a GitHub user) maintains it in jpicklyk/task-orchestrator, which has 207 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 6, 2026.
Source: jpicklyk/task-orchestrator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.