This skill should be considered when you need to repair an infeasible or non-optimal flexible job scheduling planning schedule into a downtime-feasible, precedence-feasible one while keep no worse…
$ npx skills add benchflow-ai/skillsbench --skill fjsp-baseline-repair-with-downtime-and-policy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench fjsp-baseline-repair-with-downtime-and-policy --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/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy .claude/skills/fjsp-baseline-repair-with-downtime-and-policy && 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 "fjsp-baseline-repair-with-downtime-and-policy" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy into .claude/skills/fjsp-baseline-repair-with-downtime-and-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fjsp-baseline-repair-with-downtime-and-policy", 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/benchflow-ai/skillsbench/tree/main/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policyType 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 benchflow-ai/skillsbench --skill fjsp-baseline-repair-with-downtime-and-policy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench fjsp-baseline-repair-with-downtime-and-policy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy .agents/skills/fjsp-baseline-repair-with-downtime-and-policy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fjsp-baseline-repair-with-downtime-and-policy" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy into .agents/skills/fjsp-baseline-repair-with-downtime-and-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fjsp-baseline-repair-with-downtime-and-policy", 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 benchflow-ai/skillsbench --skill fjsp-baseline-repair-with-downtime-and-policy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench fjsp-baseline-repair-with-downtime-and-policy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy .cursor/skills/fjsp-baseline-repair-with-downtime-and-policy && 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 "fjsp-baseline-repair-with-downtime-and-policy" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy into .cursor/skills/fjsp-baseline-repair-with-downtime-and-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fjsp-baseline-repair-with-downtime-and-policy", 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/benchflow-ai/skillsbench.git --path tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy--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 benchflow-ai/skillsbench --skill fjsp-baseline-repair-with-downtime-and-policy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench fjsp-baseline-repair-with-downtime-and-policy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy .gemini/skills/fjsp-baseline-repair-with-downtime-and-policy && 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 "fjsp-baseline-repair-with-downtime-and-policy" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy into .gemini/skills/fjsp-baseline-repair-with-downtime-and-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fjsp-baseline-repair-with-downtime-and-policy", 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 benchflow-ai/skillsbench fjsp-baseline-repair-with-downtime-and-policyInstalls 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 benchflow-ai/skillsbench --skill fjsp-baseline-repair-with-downtime-and-policy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy .github/skills/fjsp-baseline-repair-with-downtime-and-policy && 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 "fjsp-baseline-repair-with-downtime-and-policy" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy into .github/skills/fjsp-baseline-repair-with-downtime-and-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fjsp-baseline-repair-with-downtime-and-policy", 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 benchflow-ai/skillsbench --skill fjsp-baseline-repair-with-downtime-and-policy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench fjsp-baseline-repair-with-downtime-and-policy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy .opencode/skills/fjsp-baseline-repair-with-downtime-and-policy && 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 "fjsp-baseline-repair-with-downtime-and-policy" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy into .opencode/skills/fjsp-baseline-repair-with-downtime-and-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fjsp-baseline-repair-with-downtime-and-policy", 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.
fjsp-baseline-repair-with-downtime-and-policyThis skill should be considered when you need to repair an infeasible or non-optimal flexible job scheduling planning schedule into a downtime-feasible, precedence-feasible one while keep no worse…
Fjsp Baseline Repair With Downtime And Policy is an agent skill from benchflow-ai/skillsbench. This skill should be considered when you need to repair an infeasible or non-optimal flexible job scheduling planning schedule into a downtime-feasible, precedence-feasible one while keep no worse policy budget.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 9a1f4dd. 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 (its code samples are python).
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.
Fjsp Baseline Repair With Downtime And Policy loads about 1.2k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 348 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 benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 348 words, ~1,204 tokens.
.claude/skills/fjsp-baseline-repair-with-downtime-and-policy/SKILL.md (or your agent's skills folder).This skill should be considered when you need to enhance a given infeasible or non-optimal fjsp baseline to a feasible schedule with less makespan considering downtime constraints, job precedence violations, policy budget constraints. The following constraints should be satisfied. end(j, o) <= start(j, o+1). Here j means the job index and o means the operation index. There should be no overlaps on the same machine or with downtime windows. Keep the number of machine changes and the total L1 start-time shift within the policy budgets. You can calculate the number of machine changes by MC = \sum_{(j,o)} [m_{new}(j,o) \ne m_{base}(j,o)]. You can calculate the total L1 start-time shift by Shift_{L1} = \sum_{(j,o)} |start_{new}(j,o) - start_{base}(j,o)|. To achieve this, never start any operation earlier than the baseline. When repairing operations in precedence-aware order, place each operation at the earliest feasible time. Anchor is calculated by anchor(j,o) = \max(start_{base}(j,o), end_{new}(j,o-1)), end_{new}(j,o-1) is end time of the previous operation of the same job at the new schedule. If start > anchor, then start-1 must be infeasible. You guarantee this by scanning integer time forward by +1 from anchor. Jumping to “next gap” without checking every integer may break minimality. If the given baseline is invalid, replace the machine with a feasible one.
Here is the pipeline. For each operation, first find the earliest time to start. It cannot start earlier than the baseline, and it cannot start before the previous operation of the same job finishes. Then list only the machines that are allowed for this operation, and use the processing time that belongs to each machine. For each candidate machine, find the allowed earliest time and pick the first start time that does not overlap with other work on that machine and does not fall into any downtime window. Choose the option that makes the smallest changes overall. Prefer not changing machines and keeping start-time shifts small, and make sure you stay within the policy budgets. After selecting a start time, immediately record this operation on the machine timeline in the same precedence-aware order, so the result matches the evaluator’s step-by-step simulation.
Here are reference codes.
# sorted Downtime windows
downtime[m] = sorted([(start,end), ...])
def overlap(s,e,a,b):
return s < b and a < e # Precedence-aware repair order
def precedence_aware_order(base_list):
base_map = {(r["job"], r["op"]): r for r in base_list}
base_index = {(r["job"], r["op"]): i for i, r in enumerate(base_list)}
keys = list(base_map.keys())
keys.sort(key=lambda k: (k[1], base_map[k]["start"], base_index[k]))
return keysdef earliest_feasible_time(m, anchor, dur, machine_intervals, downtime, safety=200000):
t = int(anchor)
for _ in range(safety):
if not has_conflict(m, t, t+dur, machine_intervals, downtime):
return t
t += 1
return tdef has_conflict(m, st, en, machine_intervals, downtime):
for a,b in machine_intervals.get(m, []):
if overlap(st,en,a,b):
return True
for a,b in downtime.get(m, []):
if overlap(st,en,a,b):
return True
return False# Baseline machine may be illegal
base_m = base_map[(j,o)]["machine"]
if base_m not in allowed[(j,o)]:
# baseline is invalid; pick a legal default (min duration is a good heuristic)
base_m = min(allowed[(j,o)], key=lambda m: allowed[(j,o)][m])
base_d = allowed[(j,o)][base_m]#Use a lexicographic score that matches your priorities
machine_change = int(mm != base_m_orig)
start_shift = abs(st - base_start)
score = (machine_change, start_shift, st, mm)
#Then pick the smallest score, but respect remaining machine-change budget.#A naive “always keep baseline machine” can cause large start shifts. This often reduces `Shift_L1` enough to pass tight budgets without exploding machine changes. Use a simple trigger to consider alternates *only when it helps*:
THRESH = 6 # tune; small instances often 3~10 works
# First try baseline machine
cand = best_candidate_restricted_to([base_m])
# If shift is large and we still can change machines, search alternates
if (cand.start - base_start) >= THRESH and mc_used < max_mc:
cand2 = best_candidate_over_all_allowed_machines()
if cand2.start < cand.start: # or cand2.shift < cand.shift
cand = cand2© benchflow-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 tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy of benchflow-ai/skillsbench.
Open the folder on GitHubat commit 9a1f4dd
Fjsp Baseline Repair With Downtime And Policy 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 |
|---|---|---|---|---|---|---|
| Fjsp Baseline Repair With Downtime And Policy this skillbenchflow-ai/skillsbench | 1.8k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Policy As Code With Open Policy Agentmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Openclaw Repair Sweepopenclaw/openclaw | 392k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Policy Acknowledgementsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Privacy Policythedaviddias/Front-End-Checklist | 74k | — | ~617 | Automated safety check: Pass | MIT | |
| TDD Repairruvnet/ruflo | 74k | — | ~1.6k | Automated safety check: Notes | MIT |
mukul975/Anthropic-Cybersecurity-Skills
Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes…
openclaw/openclaw
Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.
sickn33/agentic-awesome-skills
Policy acknowledgement register: employee, policy and version, sent and due dates, acknowledged date and flag, days overdue, reminder sent and status.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing whether a website has a visible, accessible privacy policy link, particularly in the footer navigation.
ruvnet/ruflo
Test-Driven Repair — given a failing test, spawn a bounded headless claude -p (Read/Edit/Bash only) that makes the test pass without modifying it.
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing a blog, news site, or YMYL content site for trust signals, drafting editorial policy page content, or evaluating whether a site meets Google's quality rater…
benchflow-ai/skillsbench
This skill should be used when working on Lean 4 formalization projects to maintain persistent memory of successful proof patterns, failed approaches, project conventions, and user preferences…
benchflow-ai/skillsbench
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure.
benchflow-ai/skillsbench
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching acopf-math-model.md and MATPOWER branch fields.
benchflow-ai/skillsbench
Civilization 6 district mechanics library. An agent skill from benchflow-ai/skillsbench.
benchflow-ai/skillsbench
Build deterministic, verifiable data visualizations with D3.js (v6).
benchflow-ai/skillsbench
DC power flow analysis for power systems. An agent skill from benchflow-ai/skillsbench.
This skill should be considered when you need to repair an infeasible or non-optimal flexible job scheduling planning schedule into a downtime-feasible, precedence-feasible one while keep no worse…. Fjsp Baseline Repair With Downtime And Policy is an agent skill from benchflow-ai/skillsbench. This skill should be considered when you need to repair an infeasible or non-optimal flexible job scheduling planning schedule into a downtime-feasible, precedence-feasible one while keep no worse policy budget.
Run `npx skills add benchflow-ai/skillsbench --skill fjsp-baseline-repair-with-downtime-and-policy -a claude-code`. Or copy the skill folder (tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy in benchflow-ai/skillsbench) into .claude/skills/fjsp-baseline-repair-with-downtime-and-policy in your project. Claude Code loads it when a task matches its description.
Run `npx skills add benchflow-ai/skillsbench --skill fjsp-baseline-repair-with-downtime-and-policy -a codex`. Or copy the skill folder (tasks/manufacturing-fjsp-optimization/environment/skills/fjsp-baseline-repair-with-downtime-and-policy in benchflow-ai/skillsbench) into .agents/skills/fjsp-baseline-repair-with-downtime-and-policy 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 benchflow-ai/skillsbench --skill fjsp-baseline-repair-with-downtime-and-policy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fjsp-baseline-repair-with-downtime-and-policy, .gemini/skills/fjsp-baseline-repair-with-downtime-and-policy, .github/skills/fjsp-baseline-repair-with-downtime-and-policy and .opencode/skills/fjsp-baseline-repair-with-downtime-and-policy in your project.
SKILL.md names no scripts, command-line tools or credentials: Fjsp Baseline Repair With Downtime And Policy is instructions for the agent only. Our summary lists: Python 3.
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.
Fjsp Baseline Repair With Downtime And Policy 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 1.2k tokens (SKILL.md is roughly 4.8k 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 Fjsp Baseline Repair With Downtime And Policy: Implementing Policy As Code With Open Policy Agent (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Openclaw Repair Sweep (openclaw/openclaw, 392k stars), Policy Acknowledgement (sickn33/agentic-awesome-skills, 47k stars) and Privacy Policy (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,835 GitHub stars. The repository holds 189 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
