Long Horizon Prompting
guanyang/open-agent-hub
This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal…
Loop: find gaps → fix → repeat until agents find no gaps or a metric goal is hit.
$ npx skills add withkynam/vibecode-pro-max-kit --skill vc-autoresearch -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install withkynam/vibecode-pro-max-kit vc-autoresearch --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/withkynam/vibecode-pro-max-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/vc-autoresearch .claude/skills/vc-autoresearch && 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 "vc-autoresearch" agent skill from https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-autoresearch into .claude/skills/vc-autoresearch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vc-autoresearch", 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/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-autoresearchType 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 withkynam/vibecode-pro-max-kit --skill vc-autoresearch -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install withkynam/vibecode-pro-max-kit vc-autoresearch --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/withkynam/vibecode-pro-max-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/vc-autoresearch .agents/skills/vc-autoresearch && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vc-autoresearch" agent skill from https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-autoresearch into .agents/skills/vc-autoresearch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vc-autoresearch", 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 withkynam/vibecode-pro-max-kit --skill vc-autoresearch -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install withkynam/vibecode-pro-max-kit vc-autoresearch --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/withkynam/vibecode-pro-max-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/vc-autoresearch .cursor/skills/vc-autoresearch && 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 "vc-autoresearch" agent skill from https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-autoresearch into .cursor/skills/vc-autoresearch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vc-autoresearch", 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/withkynam/vibecode-pro-max-kit.git --path .claude/skills/vc-autoresearch--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 withkynam/vibecode-pro-max-kit --skill vc-autoresearch -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install withkynam/vibecode-pro-max-kit vc-autoresearch --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/withkynam/vibecode-pro-max-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/vc-autoresearch .gemini/skills/vc-autoresearch && 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 "vc-autoresearch" agent skill from https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-autoresearch into .gemini/skills/vc-autoresearch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vc-autoresearch", 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 withkynam/vibecode-pro-max-kit vc-autoresearchInstalls 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 withkynam/vibecode-pro-max-kit --skill vc-autoresearch -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/withkynam/vibecode-pro-max-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/vc-autoresearch .github/skills/vc-autoresearch && 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 "vc-autoresearch" agent skill from https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-autoresearch into .github/skills/vc-autoresearch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vc-autoresearch", 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 withkynam/vibecode-pro-max-kit --skill vc-autoresearch -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install withkynam/vibecode-pro-max-kit vc-autoresearch --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/withkynam/vibecode-pro-max-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/vc-autoresearch .opencode/skills/vc-autoresearch && 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 "vc-autoresearch" agent skill from https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-autoresearch into .opencode/skills/vc-autoresearch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vc-autoresearch", 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.
vc-autoresearchLoop: find gaps → fix → repeat until agents find no gaps or a metric goal is hit.
Vc Autoresearch is an agent skill from withkynam/vibecode-pro-max-kit. Loop: find gaps → fix → repeat until agents find no gaps or a metric goal is hit. Shared loop primitive for PVL, EVL, and standalone quality runs.
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `domains/harness.md`, `references/autonomous-loop-protocol.md` and `references/git-memory-pattern.md`).
It sits in Agent Workflows, covering Autonomous loops. The repository describes itself as: Your AI forgets. This remembers. Spec-driven coding harness for vibecoders, product owners, CEOs and real builders — self-improving context memory, 15 agents, 33 skills working…. The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3bcb2f9. 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.
Ships 3 files in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
pnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pnpm, 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.
Vc Autoresearch loads about 3.7k tokens when it runs, and up to ~9k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 1,693 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); the scripts in this folder are not scanned.
The full file from withkynam/vibecode-pro-max-kit at commit 3bcb2f9, republished under its MIT licence (© withkynam). 1,693 words, ~3,735 tokens.
.claude/skills/vc-autoresearch/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.Output style: Follow
process/development-protocols/communication-standards.md— answer-first, plain language, no unexplained jargon, TL;DR on long responses.
Reusable loop primitive. Runs: find gaps → write report → fix → check → repeat.
Used directly for spec/doc/UX hardening. Wired into PVL (plan-validate-fix loop — the fix cycle between writing a plan and approving EXECUTE) and EVL (execute-validate-fix loop — the confirmation run after EXECUTE) as the shared bookkeeping layer.
Do NOT invoke during RESEARCH or INNOVATE phases.
The ORCHESTRATOR is the loop driver. It executes every bookkeeping step itself:
results.tsv tracking file.results.tsv after each cycle.Subagents (vc-validate-agent, vc-tester, vc-plan-agent, vc-execute-agent) are fire-and-forget: they emit a verdict and terminate. They cannot invoke this skill on the orchestrator's behalf, cannot loop themselves, and cannot spawn each other.
If no one runs Step 0, the loop never exists and verdicts silently become "proceed" — that failure mode is exactly what this section forbids.
Per-verdict routing tables: process/development-protocols/orchestration.md §PVL/EVL Loop Routing.
| Subcommand | Does | Stops when |
|---|---|---|
vc-autoresearch (core) | find gaps → fix → repeat | agents find no gaps OR metric goal hit |
vc-autoresearch:probe | 8 personas interrogate the corpus until saturation | no new constraints for 3 rounds |
vc-autoresearch:reason | adversarial debate with blind judges until convergence | judges converge or iteration cap |
vc-autoresearch:evals | analyze TSV results — trends, plateaus, recommendations | N/A (analysis only) |
Not ported (already covered by existing vc-system skills): debug → vc-debugger, security → vc-security, scenario → vc-scenario, predict → vc-predict.
| Parameter | Required | Default | Notes |
|---|---|---|---|
domain: | yes | — | spec / tests / ux / docs / plan / errors |
corpus: | yes | — | file glob(s) or path list to investigate |
verify: | no | — | shell command that outputs a number; required for "hit the metric goal" mode |
target: | no | 0 | the number verify: must reach (lower-is-better assumed; use target_direction: higher to flip) |
guard: | no | — | safety shell command that must pass after every fix batch |
frozen_files: | no | — | glob pattern(s); any file matching is excluded from the fix corpus and must never be modified by a fix agent |
max_iterations: | no | per domain | hard cap on loop cycles |
severity_escalation_at: | no | 7 | after this many iterations, stop fixing CONCERN findings (move to backlog) |
consecutive_all_clear: | no | 2 | how many consecutive zero-gap iterations before SUCCESS |
research_agents: | no | per domain | number of parallel research agents |
fix_agents: | no | per domain | number of parallel fix agents |
feature: | no | inferred | feature folder name for report output paths |
task_slug: | no | auto | task folder slug; auto-generated as autoresearch-{domain}-{YYMMDD} |
auto_run: | no | prompt | true = no pauses; false = confirm before each fix batch; under /goal always true |
Full configs in process/development-protocols/vc-autoresearch-spec.md §Canonical domain configs.
| Domain | Research agents | Fix agents | Max iterations | Escalation at | Guard |
|---|---|---|---|---|---|
spec | 2 | 3 | 15 | 7 | none |
tests | 2 | 2 | 20 | — | pnpm test |
ux | 2 | 2 | 10 | 5 | pnpm typecheck |
docs | 1 | 2 | 8 | — | node validator script |
plan | 1 | 1 | 3 | — | none |
errors | 1 | 2 | 20 | — | none |
harness | 2 | 2 | 10 | — | pnpm test:runtime-harness:unit |
* harness full config: .claude/skills/vc-autoresearch/domains/harness.md
auto_run: not set and NOT under /goal: prompt once — "Auto-run (no pauses) or confirm before each fix batch?" Choice is sticky for the full loop.process/features/{feature}/active/{task_slug}_{dd-mm-yy}/{task_folder}/results.tsv with header row and baseline row (iteration 0, gaps_found: TBD, loop_status: baseline)Spawn research_agents: parallel agents. Each agent:
Collect all findings. Count: gaps_found, fail_count, concern_count.
Apply severity floor: if iteration > severity_escalation_at, discard CONCERN findings (add to backlog section of report — do not fix).
"Until agents find no gaps" (no verify: param):
consecutive_all_clear counterconsecutive_all_clear: → SUCCESS"Hit the metric goal" (verify: param set):
target: → SUCCESSCheck in priority order:
gaps_found unchanged or increased for 3 consecutive iterations → HALT_PLATEAUiteration >= max_iterations → HALT_CAP/goal)If none triggered: continue to Step 4.
Write a NEW per-iteration report file:
{task_folder}/{task_slug}-iteration-{NNN}_REPORT_{dd-mm-yy}.md — {NNN} is the
zero-padded 3-digit iteration number (001, 002, … 042), so files sort correctly and
every iteration is uniquely named no matter how many run.
ONE FILE PER ITERATION — hard rule. NEVER append iterations to a single rolling file
(no ITERATION-NOTES.md, no shared {task_slug}_REPORT_*.md updated in place). The
rolling cross-iteration view is results.tsv, nothing else.
Append a row to {task_folder}/results.tsv.
If auto_run: false: surface gap summary, wait for user confirmation before fixing.
Spawn fix_agents: parallel agents. Each agent:
If guard: is set: run guard command.
Increment iteration counter. Go to Step 1.
On any terminal state, write final iteration report with loop_status: set, then emit:
AUTORESEARCH COMPLETE
Domain: {domain}
Iterations run: N
Terminal state: SUCCESS | HALT_PLATEAU (no progress after 3 cycles) | HALT_CAP (10-cycle hard limit) | HALT_REGRESSION (passing test now fails) | HALT_SEVERITY (critical gap found)
Gaps remaining: N (FAIL: N, CONCERN: N)
Files updated: [list]
Report: {task_folder}/{task_slug}-iteration-{NNN}_REPORT_{dd-mm-yy}.md (final iteration)
TSV: {task_folder}/results.tsvWhen vc-autoresearch is the bookkeeper for a PVL (plan-validate-fix loop):
domain: plan, corpus: = the plan .md filevc-validate-findings (Layer 1 dimension agents + Layer 2 feasibility agents) — that parallelism is owned by vc-validate-agent.fix_agents: defaults to the count of independent gap groups (cap to the plan-domain default unless raised). Each fixer is scoped to its assigned gap IDs only. When gaps are interdependent or touch one section, fall back to a single plan-fix agent.{task_folder}/{plan-slug}-pvl-iteration-{NNN}_REPORT_{dd-mm-yy}.md (zero-padded {NNN})
capturing: gaps found (with severity), fixes applied vs backlogged, and the validate verdict
for that cycle. Never a single rolling notes file.Boundary:
SUPPLEMENT_APPLIEDWhen vc-autoresearch is the bookkeeper for an EVL (execute-validate-fix loop):
domain: tests, verify: = validate-contract gate commands (read from contract — never invented){task_folder}/{plan-slug}-evl-iteration-{NNN}_REPORT_{dd-mm-yy}.md (zero-padded {NNN})
capturing: which gates ran, which failed (with trimmed failure output), fixes applied, and
the re-run result for that cycle. Never a single rolling notes file.Boundary:
See process/development-protocols/vc-autoresearch-spec.md §Iteration report for full frontmatter schema and body sections.
Gap entry format:
### GAP-I{N}-{ID} — {short title}
- **SEVERITY:** FAIL | CONCERN | OBSERVATION
- **LOCATION:** {file} §{section}
- **GAP:** {what is missing or wrong}
- **RESOLUTION:** {what was changed}
- **STATUS:** APPLIED | BACKLOGEach iteration report is written inside the active task folder as
{slug}-iteration-{NNN}_REPORT_{dd-mm-yy}.md with {NNN} zero-padded to 3 digits
(task-folder artefact colocation — never a sibling reports/ dir). One file per
iteration; PVL/EVL cycles use the {plan-slug}-pvl-iteration-{NNN} /
{plan-slug}-evl-iteration-{NNN} slug variants.
Header row:
iteration timestamp gaps_found fail_count concern_count applied saturation_status loop_status notesloop_status: baselinesaturation_status: ACTIVE | PLATEAU | SATURATEDloop_status: CONTINUE | HALTED_SUCCESS | HALTED_PLATEAU | HALTED_CAP | HALTED_REGRESSIONRun vc-autoresearch:evals {task_folder}/results.tsv to analyze trends and get a plateau/recommendation report.
iteration-context.cjs — injects last 3 TSV rows at UserPromptSubmit; must scan process/features/*/active/*/results.tsv (not project-root autoresearch/ paths)session-init.cjs — active plan summary at SessionStart; adapted to scan process/general-plans/active/ and process/features/*/active/stop-notify.cjs — terminal notification at SessionEnd; no changes neededscout-block.cjs or privacy-block.cjs from the autoresearch reference repo — vc-system settings.json has superior versions; registering them would cause conflicts© withkynam, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 9 other files (scripts, references) in .claude/skills/vc-autoresearch of withkynam/vibecode-pro-max-kit.
Open the folder on GitHubat commit 3bcb2f9
Vc Autoresearch 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 |
|---|---|---|---|---|---|---|
| Vc Autoresearch this skillwithkynam/vibecode-pro-max-kit | 1.1k | — | ~3.7k | Automated safety check: Pass | MIT | |
| Long Horizon Promptingguanyang/open-agent-hub | 977 | 1 repos | ~6.4k | Automated safety check: Pass | MIT | |
| Ar Resumealirezarezvani/claude-skills | 28k | — | ~529 | Automated safety check: Pass | MIT | |
| ClawlaunchLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.9k | Automated safety check: Pass | MIT | |
| Context ManagerMark393295827/third-brain-v7-skills | 141 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Show Me Your Work Decision Logcursor/plugins | 10k | 8 repos | ~1.6k | Automated safety check: Pass | None |
guanyang/open-agent-hub
This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal…
alirezarezvani/claude-skills
Resume a paused experiment. An agent skill from alirezarezvani/claude-skills.
LeoYeAI/openclaw-master-skills
Launch and trade AI agent tokens on ClawLaunch bonding curve (Base).
Mark393295827/third-brain-v7-skills
A skill your agent uses when a long-running agent task needs context budgeting, checkpointing, compaction, retrieval, or capability-based model routing.
cursor/plugins
Keeps a TSV decision log for long or unattended agent runs, one row per decision with what, why, evidence and result, so a reviewer can check the work later.
uditgoenka/autoresearch
Runs an autonomous modify, verify, keep-or-discard loop against any metric, with subcommands for planning, debugging, fixing, security audits, shipping and more.
withkynam/vibecode-pro-max-kit
Looks up library and framework documentation through Context7 first, with bundled Node scripts as a fallback that fetch and analyze llms.txt files.
withkynam/vibecode-pro-max-kit
Apply step-by-step analysis for complex problems with revision capability.
withkynam/vibecode-pro-max-kit
Drives a browser through the agent-browser CLI, using compact snapshots with element refs to keep context small in long sessions, plus video recording and cloud browsers.
withkynam/vibecode-pro-max-kit
Audits a project's context routing, skill discoverability and skill wiring by running a chain of validator scripts and fixing whatever they report.
withkynam/vibecode-pro-max-kit
Reviews a codebase's active plan files for staleness and completion, then archives only the ones confirmed done or obsolete against the real code.
withkynam/vibecode-pro-max-kit
Forces root-cause investigation before any fix, combining a four-phase debugging method with log, CI and performance investigation techniques and a rule against unverified completion claims.
Categories
Loop: find gaps → fix → repeat until agents find no gaps or a metric goal is hit. Vc Autoresearch is an agent skill from withkynam/vibecode-pro-max-kit. Loop: find gaps → fix → repeat until agents find no gaps or a metric goal is hit.
Vc Autoresearch fits situations like: tasks that involve Autonomous loops.
Run `npx skills add withkynam/vibecode-pro-max-kit --skill vc-autoresearch -a claude-code`. Or copy the skill folder (.claude/skills/vc-autoresearch in withkynam/vibecode-pro-max-kit) into .claude/skills/vc-autoresearch in your project. Claude Code loads it when a task matches its description.
Run `npx skills add withkynam/vibecode-pro-max-kit --skill vc-autoresearch -a codex`. Or copy the skill folder (.claude/skills/vc-autoresearch in withkynam/vibecode-pro-max-kit) into .agents/skills/vc-autoresearch 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 withkynam/vibecode-pro-max-kit --skill vc-autoresearch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vc-autoresearch, .gemini/skills/vc-autoresearch, .github/skills/vc-autoresearch and .opencode/skills/vc-autoresearch in your project.
Going by SKILL.md and its folder, Vc Autoresearch needs JavaScript for the scripts in its folder and the command-line tools its instructions call (pnpm). Our summary lists: Node.js.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Vc Autoresearch is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Vc Autoresearch: Long Horizon Prompting (guanyang/open-agent-hub, 977 stars), Ar Resume (alirezarezvani/claude-skills, 28k stars), Clawlaunch (LeoYeAI/openclaw-master-skills, 2.2k stars) and Context Manager (Mark393295827/third-brain-v7-skills, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
withkynam (a GitHub user) maintains it in withkynam/vibecode-pro-max-kit, which has 1,145 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on June 21, 2026.
Source: withkynam/vibecode-pro-max-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.