Clawmem
yoloshii/ClawMem
ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring…
Gather disciplined context for solving a task, then hand off to development.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill solve-task -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins solve-task --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/mimfort/rag_for_git/plugin/skills/solve-task .claude/skills/solve-task && 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 "solve-task" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/mimfort/rag_for_git/plugin/skills/solve-task into .claude/skills/solve-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "solve-task", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/mimfort/rag_for_git/plugin/skills/solve-taskType 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 hashgraph-online/awesome-codex-plugins --skill solve-task -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins solve-task --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/mimfort/rag_for_git/plugin/skills/solve-task .agents/skills/solve-task && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "solve-task" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/mimfort/rag_for_git/plugin/skills/solve-task into .agents/skills/solve-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "solve-task", 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 hashgraph-online/awesome-codex-plugins --skill solve-task -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins solve-task --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/mimfort/rag_for_git/plugin/skills/solve-task .cursor/skills/solve-task && 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 "solve-task" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/mimfort/rag_for_git/plugin/skills/solve-task into .cursor/skills/solve-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "solve-task", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/mimfort/rag_for_git/plugin/skills/solve-task--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 hashgraph-online/awesome-codex-plugins --skill solve-task -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins solve-task --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/mimfort/rag_for_git/plugin/skills/solve-task .gemini/skills/solve-task && 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 "solve-task" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/mimfort/rag_for_git/plugin/skills/solve-task into .gemini/skills/solve-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "solve-task", 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 hashgraph-online/awesome-codex-plugins solve-taskInstalls 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 hashgraph-online/awesome-codex-plugins --skill solve-task -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/mimfort/rag_for_git/plugin/skills/solve-task .github/skills/solve-task && 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 "solve-task" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/mimfort/rag_for_git/plugin/skills/solve-task into .github/skills/solve-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "solve-task", 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 hashgraph-online/awesome-codex-plugins --skill solve-task -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins solve-task --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/mimfort/rag_for_git/plugin/skills/solve-task .opencode/skills/solve-task && 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 "solve-task" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/mimfort/rag_for_git/plugin/skills/solve-task into .opencode/skills/solve-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "solve-task", 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.
solve-taskGather disciplined context for solving a task, then hand off to development.
Solve Task is an agent skill from hashgraph-online/awesome-codex-plugins. Gather disciplined context for solving a task, then hand off to development. Use when the user asks to solve/implement a task ("solve PRI-4", "rag-reviewer:solve-task <key or description", "реши задачу X"). Reads a keyed task from the reviewer store, pulls related/similar tasks and relevant code, distills a brief, and enters brainstorming. Requires the reviewer MCP server.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/brief-format.md`, `references/context-gathering.md` and `references/modes.md`).
It sits in Agent Workflows, covering Brainstorming and Retrieval-augmented generation. It works with Model Context Protocol. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 78497e5. 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:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, 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.
Solve Task loads about 2.1k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 972 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 hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 972 words, ~2,141 tokens.
.claude/skills/solve-task/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Gather the right context for a task, distill it into a brief, then enter the normal development
workflow. This skill does NOT plan or implement — it disciplines context-gathering and hands the
brief to superpowers:brainstorming (which leads to writing-plans → subagent-driven-development,
or the execution strategy chosen in the startup survey (inline / subagent / lite)).
$ARGUMENTS is either:
PRI-4, matching the board's key_pattern), orStartup: survey + Preflight (index freshness + task-corpus warm-up). Run this BEFORE anything else.
First resolve, once, the repo path (git rev-parse --show-toplevel) and the working branch
(git branch --show-current; if it is in REVIEW_BRANCHES use it, else the primary branch) —
step 3 reuses the same branch for search_codebase.
Resolve task_board exactly once before any board call. Read the repo .review.yml block:
its task_board mapping has priority; an absent block falls back to get_board_config();
an explicit empty task_board: disables board work for this run. Keep the resolved
{type, project, key_pattern, create_target, done_target, options} value and reuse this resolved value in Step 1 and every board operation. Never call the deploy fallback when the
repo explicitly disables the board.
Call prepare_task_context(repo, key, branch, warm_board=True) once here — pass the
resolved key when $ARGUMENTS matches key_pattern, else board-less: pass the user's
formulation verbatim as key (the tool's key parameter is required and accepts free text
when no board key matches). It folds
the manual round trips below into one deterministic call and returns a single payload:
preflight (branch, indexed_sha, drift, summaries, chunks, graph_nodes — feeds Step 0.1/0.4
below), task_board/task (feeds Step 2), related/subsystems/code/test_exemplars
(feeds Step 3), gaps (a list of {section, reason, cause, cause_detail, remedy} — branch on whether
cause is unknown, not on one non-unknown value; the classes are storage_unavailable |
embedder_unavailable, and cause_detail refines storage_unavailable only (auth_failed |
missing_database | pool_exhausted | null); copy every entry into Constraints / open questions
in the Step 4 brief verbatim) and warnings (surface to the user). No source failure raises — a failed
section just adds a gaps entry, so the steps below stay fail-open.
<!-- include: solve-task/references/preflight.md -->
.review.yml or call
get_board_config() again. If no board resolved, continue board-less. For incomplete metadata
call get_board_targets(board_type=<task_board.type>, project=<task_board.project>, provider_options=<task_board.options or {}>): select from
targets by label, and use option required_for / choices to ask for missing options.
Never guess a target or an option and never branch on a board type.Brief-building unit (Steps 2–4) runs on the chosen model. Steps 2–4 (identify → gather → distill
→ persist) are non-interactive; run them on the model chosen in the Step 0 startup survey. Dispatch
a subagent on the chosen model when a per-subagent model override is available (session-less tools +
Read/Bash/Glob/Write to persist the brief), passing the Step 0 prepare_task_context payload
into its dispatch prompt so it does not re-call prepare_task_context or the tools it already
replaced; otherwise build the brief inline. Details, the existing-artifacts pre-dispatch warn, the
Собран на: marker line and the fail-open fallback are in references/brief-format.md below.
Identify the task.
$ARGUMENTS matches the board's key_pattern:payload.task from the Step 0 prepare_task_context call — it already
carries the task's own normalized content ({key, aliases[], title, description, criteria[], status, url}) from the reviewer store, refreshed by that call's board warm-up. Call reviewer
get_task(key, project=<task_board.project>) directly only as a fallback: when
payload.task is empty without a matching gaps entry explaining why, or when
prepare_task_context itself is unavailable — it returns the same normalized shape.key, from payload.task or the fallback get_task call):
use it directly as the TaskBrief. The task is
already indexed (the preflight sync persisted it) — do NOT call index_task. Note in the
brief that the task data came from the reviewer store (after sync).criteria=[]; requirements
normally live in description. If it has NO heading matching
(?i)(критери|приёмк|acceptance), leave criteria empty and record the gap. Do NOT call index_task.null / no key) AND a board is resolved: call generic incremental
sync_board(board=<task_board.project or null>, board_type=<task_board.type>, provider_options=<task_board.options or {}>, limit=null, purge_orphaned=false), then
retry get_task(key, project=<task_board.project>) once. Error or second miss →
board-less: treat $ARGUMENTS as the task description and record the gap.$ARGUMENTS as the task description.$ARGUMENTS as the task description; do not perform external task reads.Store-first cuts the double-fetch: prepare_task_context's board warm-up already pulled the whole
board into the reviewer store, and a miss gets one generic incremental sync/retry (fewer LLM
tokens and no provider-specific client dependency).
Gather context (best-effort, fail-open). Any tool returning a "(… unavailable)" / "(ничего не
найдено)" note or an error is non-fatal — continue. Details (subsystem prior, project scope,
related-task lookups, search_codebase, graph deepening, test exemplars, lazy expansion/PR diff)
are in references/context-gathering.md below.
<!-- include: solve-task/references/context-gathering.md -->
<!-- include: _common/tool-usage.md -->
Use the session-less tools above.
Branch selection for search_codebase.
<!-- include: _common/branch-selection.md -->
brainstorming — compact, scannable, nothing the implementer won't act on.<!-- include: solve-task/references/brief-format.md -->
<!-- include: solve-task/references/modes.md -->
task_board / failed generic sync / task not found → board-less: build the brief
from search_tasks (if the corpus is warm) + search_codebase + the user's formulation; note
the missing task context.get_task_context / index_task graph parts degrade (empty + warning); build the
brief from search_tasks + search_codebase.rag-reviewer:sync-tasks or reviews) → search_tasks is empty; use
search_codebase + the user's formulation and note the missing task context.search_codebase / search_tasks return empty; build the brief from the user's
formulation alone and note the missing task context; still hand off to brainstorming.sync_board/retry. It
writes exactly two files: the brief under docs/superpowers/briefs/ and the git-ignored
run-state file under .superpowers/solve-task/; nothing else in the repository.<!-- include: _common/bug-reporting.md -->
© hashgraph-online, 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
SKILL.md and 4 other files (references) in plugins/mimfort/rag_for_git/plugin/skills/solve-task of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 78497e5
Solve Task 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 |
|---|---|---|---|---|---|---|
| Solve Task this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Clawmemyoloshii/ClawMem | 210 | — | ~7.5k | Automated safety check: Pass | MIT | |
| Agent Squad for TypeScript2FastLabs/agent-squad | 7.8k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| Chatgpt App Builderalpic-ai/skybridge | 2.1k | — | ~1k | Automated safety check: Pass | MIT | |
| MCP App Builderalpic-ai/skybridge | 2.1k | — | ~906 | Automated safety check: Pass | MIT | |
| AutoRAG Setup and RepairMarker-Inc-Korea/AutoRAG | 5.1k | — | ~5.3k | Automated safety check: Pass | MIT |
yoloshii/ClawMem
ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring…
2FastLabs/agent-squad
Guide to building Node.js and TypeScript apps on the agent-squad package: orchestrator, agent types, classifier routing, storage, retrievers and MCP tools.
alpic-ai/skybridge
Guide developers through creating and updating ChatGPT plugins.
alpic-ai/skybridge
Guide developers through creating and updating MCP Apps. An agent skill from alpic-ai/skybridge.
Marker-Inc-Korea/AutoRAG
Installs, configures, and repairs AutoRAG's search model, approved folders, indexes, and datasources, and registers its Lite MCP server.
alpic-ai/skybridge
Guide developers through creating and updating ChatGPT plugins and MCP Apps.
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
hashgraph-online/awesome-codex-plugins
Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…
Works with
Categories
Gather disciplined context for solving a task, then hand off to development. Solve Task is an agent skill from hashgraph-online/awesome-codex-plugins. Gather disciplined context for solving a task, then hand off to development.
Solve Task fits situations like: the user asks to solve/implement a task (solve PRI-4; rag-reviewer:solve-task <key.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill solve-task -a claude-code`. Or copy the skill folder (plugins/mimfort/rag_for_git/plugin/skills/solve-task in hashgraph-online/awesome-codex-plugins) into .claude/skills/solve-task in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill solve-task -a codex`. Or copy the skill folder (plugins/mimfort/rag_for_git/plugin/skills/solve-task in hashgraph-online/awesome-codex-plugins) into .agents/skills/solve-task 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 hashgraph-online/awesome-codex-plugins --skill solve-task -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/solve-task, .gemini/skills/solve-task, .github/skills/solve-task and .opencode/skills/solve-task in your project.
Going by SKILL.md and its folder, Solve Task needs the command-line tools its instructions call (git).
SKILL.md contains no URLs. Its commands use git, 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.
Solve Task 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 2.1k tokens (SKILL.md is roughly 8.6k 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 9.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Solve Task: Clawmem (yoloshii/ClawMem, 210 stars), Agent Squad for TypeScript (2FastLabs/agent-squad, 7.8k stars), Chatgpt App Builder (alpic-ai/skybridge, 2.1k stars) and MCP App Builder (alpic-ai/skybridge, 2.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.