MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Emit the complete Resolve handoff with exact modes, outcomes, test evidence, and publication state.
$ npx skills add omnigent-ai/omnigent --skill resolve-handoff -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install omnigent-ai/omnigent resolve-handoff --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/omnigent-ai/omnigent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/dev/resolve-agent/skills/resolve-handoff .claude/skills/resolve-handoff && 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 "resolve-handoff" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/dev/resolve-agent/skills/resolve-handoff into .claude/skills/resolve-handoff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-handoff", 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/omnigent-ai/omnigent/tree/main/dev/resolve-agent/skills/resolve-handoffType 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 omnigent-ai/omnigent --skill resolve-handoff -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install omnigent-ai/omnigent resolve-handoff --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/dev/resolve-agent/skills/resolve-handoff .agents/skills/resolve-handoff && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "resolve-handoff" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/dev/resolve-agent/skills/resolve-handoff into .agents/skills/resolve-handoff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-handoff", 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 omnigent-ai/omnigent --skill resolve-handoff -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install omnigent-ai/omnigent resolve-handoff --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/dev/resolve-agent/skills/resolve-handoff .cursor/skills/resolve-handoff && 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 "resolve-handoff" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/dev/resolve-agent/skills/resolve-handoff into .cursor/skills/resolve-handoff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-handoff", 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/omnigent-ai/omnigent.git --path dev/resolve-agent/skills/resolve-handoff--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 omnigent-ai/omnigent --skill resolve-handoff -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install omnigent-ai/omnigent resolve-handoff --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/dev/resolve-agent/skills/resolve-handoff .gemini/skills/resolve-handoff && 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 "resolve-handoff" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/dev/resolve-agent/skills/resolve-handoff into .gemini/skills/resolve-handoff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-handoff", 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 omnigent-ai/omnigent resolve-handoffInstalls 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 omnigent-ai/omnigent --skill resolve-handoff -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .github/skills && cp -r skills-src/dev/resolve-agent/skills/resolve-handoff .github/skills/resolve-handoff && 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 "resolve-handoff" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/dev/resolve-agent/skills/resolve-handoff into .github/skills/resolve-handoff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-handoff", 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 omnigent-ai/omnigent --skill resolve-handoff -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install omnigent-ai/omnigent resolve-handoff --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/dev/resolve-agent/skills/resolve-handoff .opencode/skills/resolve-handoff && 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 "resolve-handoff" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/dev/resolve-agent/skills/resolve-handoff into .opencode/skills/resolve-handoff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-handoff", 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.
resolve-handoffEmit the complete Resolve handoff with exact modes, outcomes, test evidence, and publication state.
Resolve Handoff is an agent skill from omnigent-ai/omnigent. Emit the complete Resolve handoff with exact modes, outcomes, test evidence, and publication state.
Its SKILL.md is about 4.6k 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. The repository describes itself as: Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies… The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 2e1cd15. 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.
Shell commands in SKILL.md call:
ghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, 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.
Resolve Handoff loads about 4.6k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 2,047 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 omnigent-ai/omnigent at commit 2e1cd15, republished under its Apache-2.0 licence (© omnigent-ai). 2,047 words, ~4,626 tokens.
.claude/skills/resolve-handoff/SKILL.md (or your agent's skills folder).The last thing in your final message must be exactly one fenced json code block — the machine-readable handoff, parsed by taking the last json fence in
the message. Same discipline as repro-agent:
pr_url + a provisional outcome; this final block is authoritative."", []).mode must be exactly "reviewed_existing_pr", "authored_fix", or
"review_remediation" — which entry path you took.outcome must be exactly one of the string literals "fixed",
"partially_fixed", "not_fixed", "nothing_to_fix", "needs_more_info" —
lowercase, no other wording. This is the field the caller reads, so it must
match verbatim.{
"bug_url": "https://github.com/omnigent-ai/omnigent/issues/1234",
"mode": "authored_fix",
"outcome": "fixed",
"problem_summary": "People see internal catalog IDs in the model picker instead of readable model names.",
"solution_summary": "The model picker now shows a friendly name for every model.",
"root_cause": "picker rendered raw catalog IDs because format_label() was never called on the option list",
"fix_summary": "call format_label() when building picker options in web/src/model/picker.tsx",
"review_body": "",
"files_changed": ["web/src/model/picker.tsx"],
"facets": [
{"symptom": "picker display", "outcome": "fixed", "test_transition": "test_1234 failed: raw IDs shown → passes: friendly labels"},
{"symptom": "catalog default", "outcome": "nothing_to_fix", "test_transition": "already_fixed in #3448; skipped"}
],
"tests": {
"e2e": "",
"added": ["tests/web/model/test_picker_label.py::test_display_label"]
},
"recordings": [
{"surface": "web", "kind": "before", "path": "recordings/1234/before-picker.webm", "format": "webm",
"capture_mode": "playwright_ui",
"caption": "open the model picker → select the catalog → picker shows raw IDs"},
{"surface": "web", "kind": "after", "path": "recordings/1234/after-picker.webm", "format": "webm",
"capture_mode": "playwright_ui",
"caption": "open the model picker → select the catalog → picker now shows friendly names"}
],
"recording_unavailable_reason": "",
"test_audit": "Reused the display-label regression; the same assertions fail on base and pass on head. Browser reproduction evidence is staged in .omnigent/repro-evidence/; workflow upload is pending at <workflow run URL>, artifact resolve-bundle-<run-id>, path repro-evidence/. No additional browser boundary was found.",
"impact_assessment": {
"base_sha": "<full target-branch tip SHA>",
"head_sha": "<full candidate HEAD SHA>",
"worktree_state": "clean",
"risks": [
{
"files": ["web/src/model/picker.tsx"],
"behavior": "Changing labels can alter model selection or restoration",
"consumers": ["model picker", "restored sessions"],
"invariant": "Selections and restored sessions retain the same model IDs",
"check": "<exact command exercising selection and session restoration>",
"result": "passed",
"evidence": "<retained output reference, tested build and environment>"
}
],
"uncovered_boundaries": [],
"not_applicable_reason": ""
},
"remaining_work": [],
"hermetic_check": "test_picker_label re-run with ambient env vars set — still passes",
"pr_url": "https://github.com/omnigent-ai/omnigent/pull/4200",
"reviewed_pr_url": "",
"pushed_branch": "",
"ci_status": "green (all required checks pass)",
"polly_review": "clean on <full candidate HEAD SHA>: fixed null-deref; fresh review has no findings",
"ocr_review": "clean on <full candidate HEAD SHA>: no findings",
"review_cycle": {
"head_sha": "<full candidate HEAD SHA>",
"fingerprint": "<fingerprint from the final review snapshot>",
"dispositions": [
{"key": "comment:<id>", "status": "addressed", "reason": "Finding 1: null-deref fixed in <commit>; <test> passes. Finding 2: suggested fallback already exists at <path:line> and is covered by <test>, so not needed."}
]
},
"ui_preview": "labeled ui-preview on every PR; preview at https://…; posted connect instructions",
"validation_surface": "server",
"validation_prompt": "Reproduce and validate a bug fix. Steps: open the model picker in the catalog view… Before this fix, raw catalog IDs were shown. Confirm the fix by checking that friendly labels appear. Report whether each step now behaves correctly.",
"maintainer_review": "requested review from @PattaraS (issue assignee)",
"review_fingerprint": "",
"handled_review_ids": [],
"last_pushed_sha": "",
"session_id": "dc59e331-..."
}Field meanings:
For modes that drive an open PR, fixed also requires the Step 4.3 live gate
to pass. Interim and workflow-owned implementation handoffs do not certify PR
readiness; name pending publication/review steps in remaining_work.
bug_url — the bug link, carried through from the recovered handoff.
mode — reviewed_existing_pr (Step 2A: a candidate PR existed, you reviewed
it and kept it as the fix) or authored_fix (Step 2B: you wrote the fix). Use
authored_fix when you started from an existing PR but opened your own — for
either reason: its approach wasn't viable (2A.5), or its approach was fine
but it was an unpushable fork PR that needed a fix so you took it over (Step
4 preamble). In both cases name the reviewed/forked PR in your prose and
reviewed_pr_url so the two stay linked.
Use review_remediation only when the input supplied review_pr; in that mode
preserve the existing PR and branch and address its requested changes directly.
review_fingerprint / handled_review_ids / last_pushed_sha — populated in
review-remediation mode for scanner deduplication and workflow retry recovery;
otherwise "", [], and "".
outcome — overall: fixed (every live facet resolved and proven — by your fix
or by the reviewed PR — and the shared impact assessment has no unresolved
required checks), partially_fixed, not_fixed (couldn't resolve, or the
reviewed PR doesn't fix it), nothing_to_fix (recovered verdict was
already_fixed/not_reproduced, or the 2B.1 audit showed main has since
fixed it — name the fixing commit and recommend closing the ticket), or
needs_more_info (couldn't recover a reliable reproduction, evidence is unsafe,
required inputs/authorization are missing, or setup/environment blocks verification).
When intended behavior is ambiguous, follow resolve-investigate: a supported
proposal with an unresolved design choice is partially_fixed, with the choice
in remaining_work. Do not describe it as a proven fix.
problem_summary / solution_summary — the two user-facing paragraphs shown
prominently in the Linear update under What's the problem? and How is it
fixed? Write plain, natural English for someone who uses the product but has
not read the code. problem_summary describes what the person experiences and
why it matters. solution_summary describes the corrected behavior and result.
Keep implementation symbols, filenames, commit/merge bookkeeping, test lists,
and CI details out of both fields; those belong in the technical fields below.
Include both fields even for review mode and no-change outcomes.
root_cause / fix_summary / files_changed — the cause and the change.
These are the technical details shown under Additional notes and used by
publication/review fallbacks, so concrete symbols and filenames are welcome.
In review mode, describe the reviewed PR's approach and leave files_changed
empty (you changed nothing).
Distinguish the observed symptom from the supported cause; include sources for
historical intent, competing explanations checked, and any proposed policy
change. Identify the real configuration path exercised and any substituted
components. If the test assumes the suspected cause, retain it as a hypothesis
and carry the missing proof into the outcome and remaining_work, following
resolve-investigate. State missing evidence plainly; never include credentials.
review_body — the PR-facing review text from Step 2A. Fill it in for
reviewed_existing_pr, including workflow-owned publication; use "" in
other modes. State the verdict and reason first, then separate the proof and
any remaining action into short bullets. Do not paste root_cause,
fix_summary, ci_status, or polly_review wholesale. The workflow publisher
posts this field verbatim before adding the tested commit and marker, so it
must stand alone as a useful review. Encode paragraph and bullet breaks as
\n within the JSON string.
facets — per-facet, mirroring the recovered breakdown: each with its own
outcome and a test_transition (the fail→pass proof, or why it was skipped).
tests — selected permanent regression coverage. e2e is the retained e2e
path, or "" when none is needed. added keeps its legacy name but lists the
other selected checks, including reused unchanged tests or extensions to an
existing module. Each entry must be a bare repository-relative path or test
node ID that resolves on the committed candidate. Do not append labels such
as (reused unchanged), shell commands, or result summaries; put those in
test_audit. Before handing off, check the file portion of every reference
against the committed tree and use the same node IDs as the executed checks.
Do not list artifact-only reproduction paths here. In comment-only review,
keep the existing review procedure and do not commit temporary test source.
Use test_audit for brief selection reasoning: reused/retained tests, why any
new permanent e2e is necessary, and gaps. For reproduction-only evidence, give
the run URL/artifact/path or verified persistent local path from 2B.4, plus
its retention status; identify pending uploads and unresolved retention.
recordings — your after-fix clips (kind: "after") and any recovered
before-clips, using {surface, kind, path, format, capture_mode, caption}.
Follow the recording rules in Step 2B.5 on both author and review runs; in
review mode, record the reviewed PR head. Keep recovered before-clips and
captions unchanged. Each after-clip's caption lists the actions shown, ending
with the corrected behavior. A missing before-clip is not a reason to skip
the after-clip. Use [] only for internal/API-only results with no visible
user interaction, or when recording is blocked as described above.
recording_unavailable_reason — leave empty when every expected clip is
present. Otherwise explain each missing clip:
test_audit — required in both author and review modes for reproduction-driven
runs. Record the shared repro audit: patch-scope concerns, whether the original
test was accepted/repaired/rejected and why, exact before/after revisions and
commands, relevant environment/feature gates, behavioral fail→pass evidence,
and any blockers. Preserve original evidence when repairing a test. A restored
artifact or a green candidate run alone is not an audit.
impact_assessment — required in every mode. Use the shared impact assessment
above. base_sha is the target branch tip used for the comparison; the full
diff starts at its merge-base with head_sha. worktree_state records tested
dirt and content hashes, not just the final clean status. Each risks entry
maps changed files and affected consumers to a preserved invariant, check,
result, and evidence. Include required checks that failed or could not run;
explain their gaps in uncovered_boundaries. Use empty SHAs/state only when
stopping before a candidate can be identified, with not_applicable_reason.
Otherwise leave that reason empty unless the inspected diff has no behavioral
impact. This narrative does not certify execution or replace test_audit.
remaining_work — a list of specific unresolved behavior, required checks, or
delivery steps for partially_fixed; empty when none remain. Resolved original
facets do not hide a regression or an uncovered required boundary.
hermetic_check — the result of the Step 2B.5 hostile-env re-run when the diff
touched env-derived defaults: which added/edited tests you re-ran with ambient
vars set and that they still passed. Empty string when not applicable (no such
test in the diff).
pr_url — the PR you opened (author mode), including a draft proposal
identified as such in fix_summary. Empty in review
mode, when skip_push was set, or if you stopped before opening one.
reviewed_pr_url — the existing PR you reviewed (review mode), or the fork
PR you took over into your own (fork takeover — pr_url is then yours).
Empty when you authored from scratch with no upstream PR.
pushed_branch — the local branch holding the committed fix that you did
not push because skip_push was set (author mode). Empty otherwise. A human
pushes and opens the PR from it.
ci_status — the result of the Step 4.2 CI loop (run on both paths now):
green when the checks you're responsible for pass, otherwise the failing checks
and whether each was diff-caused vs pre-existing/flaky/infra. If a fork PR needed
a fix and you took over into your own PR, this reflects your PR's checks.
Empty when skip_push was set or you stopped before there was a PR to land.
polly_review / ocr_review — each reviewer's current-head result, rounds,
run/comment links, fixes, and individually justified invalid/not-needed findings
(including non-blocking notes). Missing, stale, skipped, failed, or undispatched
reviews are explicitly incomplete and block readiness/approval. Empty when the
publication mode skips Step 4; that does not mean the PR is ready to merge.
review_cycle — the Step 4.3 snapshot receipt: head_sha, fingerprint, and
dispositions. Include one record per feedback key from the snapshot, with
status (addressed, invalid, or not_needed) and a nonempty reason
explaining every finding in that document with commit/test/code evidence.
Mixed dispositions in one summary belong individually in its reason; use
addressed for the document when all its findings are settled. Revalidate
after new feedback or a push. The live checker verifies coverage and freshness,
not whether the reasoning is correct. Use {} when Step 4 has not run (interim,
local-only, or workflow-owned author publication); preserve partial receipts
and name missing reviews/findings in remaining_work if the loop is blocked.
ui_preview — the result of Step 4.1 (run on every PR, not just frontend fixes):
the preview URL (verbatim, so the ticket write-back can surface it and a
reviewer can omnigent claude -p '<prompt>' --server <url>), or why it failed to
deploy (e.g. workspace secrets not configured, or the label couldn't be
applied under your identity). Empty when no PR was opened.
validation_surface — which side the fix runs on, from Step 4.1: server (the
preview build carries it; --server <preview> validates it), runner (runs in
the runner/host process, so only a local gh pr checkout + --server '' build
validates it — the preview's local runner is unfixed), or both (spans both —
treat like runner). Judge from files_changed; default server, use both
when unsure. Tells the write-back which command to render.
validation_prompt — the Step 4.4 paste-to-an-agent prompt that reproduces the
journey and confirms the fix. Empty when no PR was opened, except for
workflow-owned author publication: in that mode no PR exists during the agent
session, but this field must retain the deferred prompt for the publisher and
Linear write-back.
maintainer_review — who you requested review from in Step 4.5 (the issue
assignee(s)), or why you couldn't (no assignee / assignee is the author, and
what you did instead). Empty when no PR was opened.
session_id — the repro session you consumed, carried through so the chain is
traceable.
Directly published author runs and review runs end the same way: the PR you're
landing (one you opened, or an existing in-repo PR you reviewed and kept) has a
preview, green CI, settled current-head Polly and OCR reviews, a live-validation
command, and the maintainer tagged (Step 4) — or a concrete blocker or actual
execution deadline has left an explicitly incomplete, resumable handoff. The difference is only how
a fix lands (push directly, or — for an unpushable fork PR that needs changes —
take over into your own PR carrying the contributor's commits), and that the direct author path opens a PR while the
review path adopts an existing one. Workflow-owned author publication ends after
the validated body, deferred validation prompt, and final handoff are prepared;
the publisher owns the post-publication loop. A direct draft proposal instead
ends with the incomplete handoff in resolve-publish; it makes no readiness or
independent-review claim. skip_push and needs_more_info
runs end earlier, with no PR to land. In every mode, you do not merge.
© omnigent-ai, Apache-2.0. 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 dev/resolve-agent/skills/resolve-handoff of omnigent-ai/omnigent.
Open the folder on GitHubat commit 2e1cd15
Resolve Handoff 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 |
|---|---|---|---|---|---|---|
| Resolve Handoff this skillomnigent-ai/omnigent | 11k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 795 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
omnigent-ai/omnigent
Brings up the Omnigent server and Postgres as a Docker compose stack on any Docker host, and covers the Dockerfile's runtime and host build targets for extending it to a new platform.
omnigent-ai/omnigent
Scans Python agent code for framework imports and recommends the matching Omnigent executor type, or says when the framework is not natively supported yet.
omnigent-ai/omnigent
Runs the Omnigent load test with real hosts and multi-turn sessions against a mocked LLM, then explains the latency results from summary.md.
omnigent-ai/omnigent
Spins up an isolated Omnigent server, runner and mock model to prove a user-facing behavior or bug fix with recorded evidence instead of reasoning from code.
omnigent-ai/omnigent
Spins up a local Omnigent server and exercises the Antigravity (Gemini) SDK harness end to end: building agents, running real turns, smoke tests and bug-bashing.
omnigent-ai/omnigent
Gives patterns for generating a minimal, valid Omnigent agent directory: the config.yaml fields, the right executor type, and the files each agent needs.
Categories
Emit the complete Resolve handoff with exact modes, outcomes, test evidence, and publication state. Resolve Handoff is an agent skill from omnigent-ai/omnigent. Emit the complete Resolve handoff with exact modes, outcomes, test evidence, and publication state.
Resolve Handoff fits situations like: agent Workflows work in your project.
Run `npx skills add omnigent-ai/omnigent --skill resolve-handoff -a claude-code`. Or copy the skill folder (dev/resolve-agent/skills/resolve-handoff in omnigent-ai/omnigent) into .claude/skills/resolve-handoff in your project. Claude Code loads it when a task matches its description.
Run `npx skills add omnigent-ai/omnigent --skill resolve-handoff -a codex`. Or copy the skill folder (dev/resolve-agent/skills/resolve-handoff in omnigent-ai/omnigent) into .agents/skills/resolve-handoff 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 omnigent-ai/omnigent --skill resolve-handoff -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resolve-handoff, .gemini/skills/resolve-handoff, .github/skills/resolve-handoff and .opencode/skills/resolve-handoff in your project.
Going by SKILL.md and its folder, Resolve Handoff needs the command-line tools its instructions call (gh).
SKILL.md contains no URLs. Its commands use gh, 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. Review the folder before installing.
Resolve Handoff is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.6k tokens (SKILL.md is roughly 19k 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 Resolve Handoff: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
omnigent-ai (a GitHub organization) maintains it in omnigent-ai/omnigent, which has 10,691 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 9, 2026.
Source: omnigent-ai/omnigent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.